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references.bib
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@article{Eddy2011,
title = {Accelerated {{Profile HMM Searches}}},
volume = {7},
issn = {1553-7358},
doi = {10.1371/journal.pcbi.1002195},
number = {10},
urldate = {2012-01-24},
journal = {PLoS Computational Biology},
url = {http://dx.plos.org/10.1371/journal.pcbi.1002195},
author = {Eddy, Sean R.},
editor = {Pearson, William R.},
month = oct,
year = {2011},
pages = {e1002195},
file = {/home/mpetersen/bib/storage/RCSHHHK5/Eddy2011.accelerated-hmmer3-searches.pdf}
}
@article{Slater2005,
title = {Automated Generation of Heuristics for Biological Sequence Comparison},
volume = {6},
doi = {10.1186/1471-2105-6-31},
number = {1},
journal = {Bmc Bioinformatics},
author = {Slater, G. and Birney, E.},
year = {2005},
pages = {31},
file = {/home/mpetersen/bib/storage/SG9UWSB6/1471-2105-6-31.pdf}
}
@article{Li2003,
title = {{{OrthoMCL}}: Identification of Ortholog Groups for Eukaryotic Genomes},
volume = {13},
shorttitle = {{{OrthoMCL}}},
doi = {10.1101/gr.1224503},
number = {9},
journal = {Genome research},
author = {Li, L. and Stoeckert, C.J. and Roos, D.S.},
year = {2003},
pages = {2178--2189},
file = {/home/mpetersen/bib/storage/8VMXD4DD/Li2003.orthomcl.pdf}
}
@article{Trachana2011,
title = {Orthology Prediction Methods: {{A}} Quality Assessment Using Curated Protein Families},
volume = {33},
issn = {02659247},
shorttitle = {Orthology Prediction Methods},
doi = {10.1002/bies.201100062},
number = {10},
urldate = {2012-01-24},
journal = {BioEssays},
url = {http://doi.wiley.com/10.1002/bies.201100062},
author = {Trachana, Kalliopi and Larsson, Tomas A. and Powell, Sean and Chen, Wei-Hua and Doerks, Tobias and Muller, Jean and Bork, Peer},
month = oct,
year = {2011},
pages = {769-780},
file = {/home/mpetersen/bib/storage/VKNCAGA6/Trachana2011.orthology-prediction-methods-quality-assessment.pdf}
}
@article{Kriventseva2008,
title = {{{OrthoDB}}: The Hierarchical Catalog of Eukaryotic Orthologs},
volume = {36},
shorttitle = {{{OrthoDB}}},
doi = {10.1093/nar/gkq930},
number = {suppl 1},
journal = {Nucleic acids research},
author = {Kriventseva, E.V. and Rahman, N. and Espinosa, O. and Zdobnov, E.M.},
year = {2008},
keywords = {Animals,Phylogeny,Genomics,Fungi,Genes,Proteins,Saccharomyces cerevisiae,Databases; Genetic,Evolution; Molecular,Mice,Protein Structure; Tertiary,Molecular Sequence Annotation,Sequence Homology; Amino Acid,Arthropods,Drosophila melanogaster,Vertebrates},
pages = {D271--D275},
file = {/home/mpetersen/bib/storage/8JP8VRVC/Kriventseva2007.orthodb.pdf;/home/mpetersen/bib/storage/F9I3NDR4/Waterhouse2001.orthodb-2011.pdf;/home/mpetersen/bib/storage/FDBZ6YK5/Waterhouse et al. - 2011 - OrthoDB the hierarchical catalog of eukaryotic or.pdf}
}
@article{Koonin2005,
title = {Orthologs, Paralogs, and Evolutionary Genomics.},
volume = {39},
doi = {10.1146/annurev.genet.39.073003.114725},
abstract = {Orthologs and paralogs are two fundamentally different types of homologous genes that evolved, respectively, by vertical descent from a single ancestral gene and by duplication. Orthology and paralogy are key concepts of evolutionary genomics. A clear distinction between orthologs and paralogs is critical for the construction of a robust evolutionary classification of genes and reliable functional annotation of newly sequenced genomes. Genome comparisons show that orthologous relationships with genes from taxonomically distant species can be established for the majority of the genes from each sequenced genome. This review examines in depth the definitions and subtypes of orthologs and paralogs, outlines the principal methodological approaches employed for identification of orthology and paralogy, and considers evolutionary and functional implications of these concepts.},
journal = {Annu Rev Genet},
url = {http://dx.doi.org/10.1146/annurev.genet.39.073003.114725},
author = {Koonin, Eugene V},
year = {2005},
keywords = {Animals; Computational Biology; Conserved Sequence; Evolution,Molecular; Genomics},
pages = {309--338},
file = {/home/mpetersen/bib/storage/NJ8C2ER5/Koonin2005.orthologs-paralogs-evolutionary-genomics.pdf}
}
@article{Tatusov2003,
title = {The {{COG}} Database: An Updated Version Includes Eukaryotes.},
volume = {4},
doi = {10.1186/1471-2105-4-41},
abstract = {The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appears to be a natural framework for comparative genomics and should facilitate both functional annotation of genomes and large-scale evolutionary studies.We describe here a major update of the previously developed system for delineation of Clusters of Orthologous Groups of proteins (COGs) from the sequenced genomes of prokaryotes and unicellular eukaryotes and the construction of clusters of predicted orthologs for 7 eukaryotic genomes, which we named KOGs after eukaryotic orthologous groups. The COG collection currently consists of 138,458 proteins, which form 4873 COGs and comprise 75\% of the 185,505 (predicted) proteins encoded in 66 genomes of unicellular organisms. The eukaryotic orthologous groups (KOGs) include proteins from 7 eukaryotic genomes: three animals (the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster and Homo sapiens), one plant, Arabidopsis thaliana, two fungi (Saccharomyces cerevisiae and Schizosaccharomyces pombe), and the intracellular microsporidian parasite Encephalitozoon cuniculi. The current KOG set consists of 4852 clusters of orthologs, which include 59,838 proteins, or approximately 54\% of the analyzed eukaryotic 110,655 gene products. Compared to the coverage of the prokaryotic genomes with COGs, a considerably smaller fraction of eukaryotic genes could be included into the KOGs; addition of new eukaryotic genomes is expected to result in substantial increase in the coverage of eukaryotic genomes with KOGs. Examination of the phyletic patterns of KOGs reveals a conserved core represented in all analyzed species and consisting of approximately 20\% of the KOG set. This conserved portion of the KOG set is much greater than the ubiquitous portion of the COG set (approximately 1\% of the COGs). In part, this difference is probably due to the small number of included eukaryotic genomes, but it could also reflect the relative compactness of eukaryotes as a clade and the greater evolutionary stability of eukaryotic genomes.The updated collection of orthologous protein sets for prokaryotes and eukaryotes is expected to be a useful platform for functional annotation of newly sequenced genomes, including those of complex eukaryotes, and genome-wide evolutionary studies.},
journal = {BMC Bioinformatics},
url = {http://dx.doi.org/10.1186/1471-2105-4-41},
author = {Tatusov, Roman L and Fedorova, Natalie D and Jackson, John D and Jacobs, Aviva R and Kiryutin, Boris and Koonin, Eugene V and Krylov, Dmitri M and Mazumder, Raja and Mekhedov, Sergei L and Nikolskaya, Anastasia N and Rao, B. Sridhar and Smirnov, Sergei and Sverdlov, Alexander V and Vasudevan, Sona and Wolf, Yuri I and Yin, Jodie J and Natale, Darren A},
month = sep,
year = {2003},
keywords = {Nucleic Acid,Animals; Databases,trends; Databases,Protein,trends; Eukaryotic Cells,chemistry/physiology; Evolution,Molecular; Humans; National Institutes of Health (U.S.); Proteins,classification/genetics/physiology; Terminology as Topic; United States},
pages = {41},
file = {/home/mpetersen/bib/storage/P7EJDEPN/Tatusov2003.cog-database.pdf}
}
@article{Ebersberger2009,
title = {{{HaMStR}}: {{Profile}} Hidden Markov Model Based Search for Orthologs in {{ESTs}}},
volume = {9},
shorttitle = {{{HaMStR}}},
doi = {10.1186/1471-2148-9-157},
number = {1},
journal = {BMC Evolutionary Biology},
author = {Ebersberger, I. and Strauss, S. and Von Haeseler, A.},
year = {2009},
pages = {157},
file = {/home/mpetersen/bib/storage/2SU5AEA4/Ebersberger2009.hamstr.pdf}
}
@article{Kristensen2011,
title = {Computational Methods for Gene Orthology Inference},
volume = {12},
issn = {1467-5463, 1477-4054},
doi = {10.1093/bib/bbr030},
number = {5},
urldate = {2012-10-11},
journal = {Briefings in Bioinformatics},
url = {http://bib.oxfordjournals.org/cgi/doi/10.1093/bib/bbr030},
author = {Kristensen, D. M. and Wolf, Y. I. and Mushegian, A. R. and Koonin, E. V.},
month = jun,
year = {2011},
pages = {379-391},
file = {/home/mpetersen/bib/storage/2V92T7H9/2011 - Computational methods for Gene Orthology inference.pdf;/home/mpetersen/bib/storage/37P82GHD/Brief Bioinform-2011-Kristensen-bib-bbr030.pdf}
}
@article{Chen2007a,
title = {Assessing Performance of Orthology Detection Strategies Applied to Eukaryotic Genomes},
volume = {2},
issn = {1932-6203},
doi = {10.1371/journal.pone.0000383},
abstract = {Orthology detection is critically important for accurate functional annotation, and has been widely used to facilitate studies on comparative and evolutionary genomics. Although various methods are now available, there has been no comprehensive analysis of performance, due to the lack of a genomic-scale 'gold standard' orthology dataset. Even in the absence of such datasets, the comparison of results from alternative methodologies contains useful information, as agreement enhances confidence and disagreement indicates possible errors. Latent Class Analysis (LCA) is a statistical technique that can exploit this information to reasonably infer sensitivities and specificities, and is applied here to evaluate the performance of various orthology detection methods on a eukaryotic dataset. Overall, we observe a trade-off between sensitivity and specificity in orthology detection, with BLAST-based methods characterized by high sensitivity, and tree-based methods by high specificity. Two algorithms exhibit the best overall balance, with both sensitivity and specificity{$>$}80\%: INPARANOID identifies orthologs across two species while OrthoMCL clusters orthologs from multiple species. Among methods that permit clustering of ortholog groups spanning multiple genomes, the (automated) OrthoMCL algorithm exhibits better within-group consistency with respect to protein function and domain architecture than the (manually curated) KOG database, and the homolog clustering algorithm TribeMCL as well. By way of using LCA, we are also able to comprehensively assess similarities and statistical dependence between various strategies, and evaluate the effects of parameter settings on performance. In summary, we present a comprehensive evaluation of orthology detection on a divergent set of eukaryotic genomes, thus providing insights and guides for method selection, tuning and development for different applications. Many biological questions have been addressed by multiple tests yielding binary (yes/no) outcomes but no clear definition of truth, making LCA an attractive approach for computational biology.},
number = {4},
urldate = {2011-08-24},
journal = {PloS One},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17440619},
author = {Chen, Feng and Mackey, Aaron J and Vermunt, Jeroen K and Roos, David S},
year = {2007},
keywords = {Algorithms,Eukaryotic Cells,Genome},
pages = {e383},
file = {/home/mpetersen/bib/storage/HX7FHAXC/Chen2007.orthology-detection-assesment.pdf},
pmid = {17440619}
}
@book{MySQL2013,
edition = {5.5},
title = {{{MySQL}} 5.5 {{Reference Manual}}},
volume = {1},
abstract = {This is the MySQLTM Reference Manual. It documents MySQL 5.5 through 5.5.31, as well as MySQL Cluster
releases based on version 7.2 of NDBCLUSTER through 5.5.29-ndb-7.2.10.},
language = {English},
urldate = {2013-01-22},
publisher = {{Oracle}},
url = {http://dev.mysql.com/doc/},
author = {{MySQL}},
year = {2013}
}
@article{Berglund2008,
title = {{{InParanoid}} 6: Eukaryotic Ortholog Clusters with Inparalogs},
volume = {36},
issn = {1362-4962},
shorttitle = {{{InParanoid}} 6},
doi = {10.1093/nar/gkm1020},
abstract = {The InParanoid eukaryotic ortholog database (http://InParanoid.sbc.su.se/) has been updated to version 6 and is now based on 35 species. We collected all available 'complete' eukaryotic proteomes and Escherichia coli, and calculated ortholog groups for all 595 species pairs using the InParanoid program. This resulted in 2 642 187 pairwise ortholog groups in total. The orthology-based species relations are presented in an orthophylogram. InParanoid clusters contain one or more orthologs from each of the two species. Multiple orthologs in the same species, i.e. inparalogs, result from gene duplications after the species divergence. A new InParanoid website has been developed which is optimized for speed both for users and for updating the system. The XML output format has been improved for efficient processing of the InParanoid ortholog clusters.},
number = {Database issue},
urldate = {2011-08-24},
journal = {Nucleic Acids Research},
url = {http://www.ncbi.nlm.nih.gov/pubmed/18055500},
author = {Berglund, Ann-Charlotte and Sj\"olund, Erik and Ostlund, Gabriel and Sonnhammer, Erik L L},
month = jan,
year = {2008},
keywords = {Animals,Cluster Analysis,Humans,Phylogeny,Animals; Cluster Analysis; Databases,Protein; Gene Duplication; Humans; Internet; Phylogeny; Proteins,genetics; Proteomics,Proteins,Gene Duplication,Databases; Protein,Internet,Proteomics},
pages = {D263-266},
file = {/home/mpetersen/bib/storage/VT7TCNPC/Berglund2008.inparanoid6.pdf},
pmid = {18055500}
}
@article{Shedlock2000,
title = {{{SINE}} Insertions: Powerful Tools for Molecular Systematics},
volume = {22},
issn = {0265-9247},
shorttitle = {{{SINE}} Insertions},
doi = {10.1002/(SICI)1521-1878(200002)22:2<148::AID-BIES6>3.0.CO;2-Z},
abstract = {Short interspersed repetitive elements, or SINEs, are tRNA-derived retroposons that are dispersed throughout eukaryotic genomes and can be present in well over 10(4) total copies. The enormous volume of SINE amplifications per organism makes them important evolutionary agents for shaping the diversity of genomes, and the irreversible, independent nature of their insertion allows them to be used for diagnosing common ancestry among host taxa with extreme confidence. As such, they represent a powerful new tool for systematic biology that can be strategically integrated with other conventional phylogenetic characters, most notably morphology and DNA sequences. This review covers the basic aspects of SINE evolution that are especially relevant to their use as systematic characters and describes the practical methods of characterizing SINEs for cladogram construction. It also discusses the limits of their systematic utility, clarifies some recently published misunderstandings, and illustrates the effective application of SINEs for vertebrate phylogenetics with results from selected case studies. BioEssays 22:148-160, 2000.},
language = {eng},
number = {2},
journal = {BioEssays: news and reviews in molecular, cellular and developmental biology},
author = {Shedlock, A M and Okada, N},
month = feb,
year = {2000},
keywords = {Animals,Artiodactyla,Molecular,Phylogeny,Perches,Salmonidae,Short Interspersed Nucleotide Elements,Models,Whales,Genetic,Evolution,Evolution; Molecular,Models; Genetic},
pages = {148-160},
pmid = {10655034}
}
@article{Dutilh2007,
title = {Assessment of Phylogenomic and Orthology Approaches for Phylogenetic Inference},
volume = {23},
issn = {1367-4811},
doi = {10.1093/bioinformatics/btm015},
abstract = {MOTIVATION Phylogenomics integrates the vast amount of phylogenetic information contained in complete genome sequences, and is rapidly becoming the standard for reliably inferring species phylogenies. There are, however, fundamental differences between the ways in which phylogenomic approaches like gene content, superalignment, superdistance and supertree integrate the phylogenetic information from separate orthologous groups. Furthermore, they all depend on the method by which the orthologous groups are initially determined. Here, we systematically compare these four phylogenomic approaches, in parallel with three approaches for large-scale orthology determination: pairwise orthology, cluster orthology and tree-based orthology. RESULTS Including various phylogenetic methods, we apply a total of 54 fully automated phylogenomic procedures to the fungi, the eukaryotic clade with the largest number of sequenced genomes, for which we retrieved a golden standard phylogeny from the literature. Phylogenomic trees based on gene content show, relative to the other methods, a bias in the tree topology that parallels convergence in lifestyle among the species compared, indicating convergence in gene content. CONCLUSIONS Complete genomes are no guarantee for good or even consistent phylogenies. However, the large amounts of data in genomes enable us to carefully select the data most suitable for phylogenomic inference. In terms of performance, the superalignment approach, combined with restrictive orthology, is the most successful in recovering a fungal phylogeny that agrees with current taxonomic views, and allows us to obtain a high-resolution phylogeny. We provide solid support for what has grown to be a common practice in phylogenomics during its advance in recent years. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.},
number = {7},
urldate = {2011-08-24},
journal = {Bioinformatics (Oxford, England)},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17237036},
author = {Dutilh, B E and {van Noort}, V and {van der Heijden}, R T J M and Boekhout, T and Snel, B and Huynen, M A},
month = apr,
year = {2007},
keywords = {Algorithms,Molecular,Phylogeny,Sequence Alignment,Sequence Analysis,DNA,Genome,Base Sequence,Chromosome Mapping,Genetic Variation,Fungal,Molecular Sequence Data,Evolution,Evolution; Molecular,Genome; Fungal,Sequence Analysis; DNA},
pages = {815-824},
file = {/home/mpetersen/bib/storage/NNMSHRJ2/815.full.pdf},
pmid = {17237036}
}
@article{Altenhoff2012a,
title = {Resolving the Ortholog Conjecture: Orthologs Tend to Be Weakly, but Significantly, More Similar in Function than Paralogs},
volume = {8},
shorttitle = {Resolving the {{Ortholog Conjecture}}},
doi = {10.1371/journal.pcbi.1002514},
number = {5},
urldate = {2013-01-16},
journal = {PLoS Computational Biology},
url = {http://dx.plos.org/10.1371/journal.pcbi.1002514},
author = {Altenhoff, A. M. and Studer, R. A. and {Robinson-Rechavi}, M. and Dessimoz, C.},
year = {2012},
pages = {e1002514},
file = {/home/mpetersen/bib/storage/AZPA9Q3M/pcbi.1002514.pdf}
}
@article{Altenhoff2012,
title = {Inferring Orthology and Paralogy},
volume = {855},
issn = {1940-6029},
doi = {10.1007/978-1-61779-582-4_9},
abstract = {The distinction between orthologs and paralogs, genes that started diverging by speciation versus duplication, is relevant in a wide range of contexts, most notably phylogenetic tree inference and protein function annotation. In this chapter, we provide an overview of the methods used to infer orthology and paralogy. We survey both graph-based approaches (and their various grouping strategies) and tree-based approaches, which solve the more general problem of gene/species tree reconciliation. We discuss conceptual differences among the various orthology inference methods and databases, and examine the difficult issue of verifying and benchmarking orthology predictions. Finally, we review typical applications of orthologous genes, groups, and reconciled trees and conclude with thoughts on future methodological developments.},
journal = {Methods in molecular biology (Clifton, N.J.)},
author = {Altenhoff, Adrian M and Dessimoz, Christophe},
year = {2012},
keywords = {Animals,Humans,Phylogeny,Computational Biology,Evolution; Molecular},
pages = {259-279},
file = {/home/mpetersen/bib/storage/KZEUTGZV/orthology-bookchapter.pdf},
pmid = {22407712}
}
@article{Jothi2006,
title = {{{COCO}}-{{CL}}: Hierarchical Clustering of Homology Relations Based on Evolutionary Correlations},
volume = {22},
issn = {1367-4803, 1460-2059},
shorttitle = {{{COCO}}-{{CL}}},
doi = {10.1093/bioinformatics/btl009},
number = {7},
urldate = {2013-01-18},
journal = {Bioinformatics},
url = {http://bioinformatics.oxfordjournals.org/cgi/doi/10.1093/bioinformatics/btl009},
author = {Jothi, R. and Zotenko, E. and Tasneem, A. and Przytycka, T. M.},
month = jan,
year = {2006},
pages = {779-788}
}
@article{Edgar2004,
title = {{{MUSCLE}}: A Multiple Sequence Alignment Method with Reduced Time and Space Complexity},
volume = {5},
issn = {1471-2105},
shorttitle = {{{MUSCLE}}},
doi = {10.1186/1471-2105-5-113},
abstract = {BACKGROUND
In a previous paper, we introduced MUSCLE, a new program for creating multiple alignments of protein sequences, giving a brief summary of the algorithm and showing MUSCLE to achieve the highest scores reported to date on four alignment accuracy benchmarks. Here we present a more complete discussion of the algorithm, describing several previously unpublished techniques that improve biological accuracy and / or computational complexity. We introduce a new option, MUSCLE-fast, designed for high-throughput applications. We also describe a new protocol for evaluating objective functions that align two profiles.
RESULTS
We compare the speed and accuracy of MUSCLE with CLUSTALW, Progressive POA and the MAFFT script FFTNS1, the fastest previously published program known to the author. Accuracy is measured using four benchmarks: BAliBASE, PREFAB, SABmark and SMART. We test three variants that offer highest accuracy (MUSCLE with default settings), highest speed (MUSCLE-fast), and a carefully chosen compromise between the two (MUSCLE-prog). We find MUSCLE-fast to be the fastest algorithm on all test sets, achieving average alignment accuracy similar to CLUSTALW in times that are typically two to three orders of magnitude less. MUSCLE-fast is able to align 1,000 sequences of average length 282 in 21 seconds on a current desktop computer.
CONCLUSIONS
MUSCLE offers a range of options that provide improved speed and / or alignment accuracy compared with currently available programs. MUSCLE is freely available at http://www.drive5.com/muscle.},
journal = {BMC bioinformatics},
author = {Edgar, Robert C},
month = aug,
year = {2004},
keywords = {Cluster Analysis,Phylogeny,Sequence Alignment,Computational Biology,Software,Time Factors,Software Design},
pages = {113},
pmid = {15318951}
}
@article{Waterhouse2013,
title = {{{OrthoDB}}: A Hierarchical Catalog of Animal, Fungal and Bacterial Orthologs},
volume = {41},
issn = {1362-4962},
shorttitle = {{{OrthoDB}}},
doi = {10.1093/nar/gks1116},
abstract = {The concept of orthology provides a foundation for formulating hypotheses on gene and genome evolution, and thus forms the cornerstone of comparative genomics, phylogenomics and metagenomics. We present the update of OrthoDB-the hierarchical catalog of orthologs (http://www.orthodb.org). From its conception, OrthoDB promoted delineation of orthologs at varying resolution by explicitly referring to the hierarchy of species radiations, now also adopted by other resources. The current release provides comprehensive coverage of animals and fungi representing 252 eukaryotic species, and is now extended to prokaryotes with the inclusion of 1115 bacteria. Functional annotations of orthologous groups are provided through mapping to InterPro, GO, OMIM and model organism phenotypes, with cross-references to major resources including UniProt, NCBI and FlyBase. Uniquely, OrthoDB provides computed evolutionary traits of orthologs, such as gene duplicability and loss profiles, divergence rates, sibling groups, and now extended with exon-intron architectures, syntenic orthologs and parent-child trees. The interactive web interface allows navigation along the species phylogenies, complex queries with various identifiers, annotation keywords and phrases, as well as with gene copy-number profiles and sequence homology searches. With the explosive growth of available data, OrthoDB also provides mapping of newly sequenced genomes and transcriptomes to the current orthologous groups.},
language = {eng},
number = {Database issue},
journal = {Nucleic Acids Research},
author = {Waterhouse, Robert M. and Tegenfeldt, Fredrik and Li, Jia and Zdobnov, Evgeny M. and Kriventseva, Evgenia V.},
month = jan,
year = {2013},
keywords = {Animals,Cluster Analysis,Humans,Phylogeny,Genes,Synteny,Databases; Genetic,Evolution; Molecular,Genes; Fungal,Internet,Genes; Bacterial,Mice,Molecular Sequence Annotation,Phenotype},
pages = {D358-365},
file = {/home/mpetersen/bib/storage/78RXXRDF/Nucl. Acids Res.-2013-Waterhouse-D358-65.pdf},
pmid = {23180791},
pmcid = {PMC3531149}
}
@article{Terrapon2014,
title = {Molecular Traces of Alternative Social Organization in a Termite Genome},
volume = {5},
issn = {2041-1723},
doi = {10.1038/ncomms4636},
urldate = {2014-09-30},
journal = {Nature Communications},
url = {http://www.nature.com/doifinder/10.1038/ncomms4636},
author = {Terrapon, Nicolas and Li, Cai and Robertson, Hugh M. and Ji, Lu and Meng, Xuehong and Booth, Warren and Chen, Zhensheng and Childers, Christopher P. and Glastad, Karl M. and Gokhale, Kaustubh and Gowin, Johannes and Gronenberg, Wulfila and Hermansen, Russell A. and Hu, Haofu and Hunt, Brendan G. and Huylmans, Ann Kathrin and Khalil, Sayed M. S. and Mitchell, Robert D. and {Munoz-Torres}, Monica C. and Mustard, Julie A. and Pan, Hailin and Reese, Justin T. and Scharf, Michael E. and Sun, Fengming and Vogel, Heiko and Xiao, Jin and Yang, Wei and Yang, Zhikai and Yang, Zuoquan and Zhou, Jiajian and Zhu, Jiwei and Brent, Colin S. and Elsik, Christine G. and Goodisman, Michael A. D. and Liberles, David A. and Roe, R. Michael and Vargo, Edward L. and Vilcinskas, Andreas and Wang, Jun and {Bornberg-Bauer}, Erich and Korb, Judith and Zhang, Guojie and Liebig, J\"urgen},
month = may,
year = {2014},
keywords = {Genome,zootermopsis}
}
@article{TheInternationalAphidGenomicsConsortium2010,
title = {Genome {{Sequence}} of the {{Pea Aphid Acyrthosiphon}} Pisum},
volume = {8},
issn = {1545-7885},
doi = {10.1371/journal.pbio.1000313},
language = {en},
number = {2},
urldate = {2014-09-30},
journal = {PLoS Biology},
url = {http://dx.plos.org/10.1371/journal.pbio.1000313},
author = {{The International Aphid Genomics Consortium}},
editor = {Eisen, Jonathan A.},
month = feb,
year = {2010},
keywords = {Genome},
pages = {e1000313}
}
@article{Colbourne2011,
title = {The {{Ecoresponsive Genome}} of {{Daphnia}} Pulex},
volume = {331},
issn = {0036-8075, 1095-9203},
doi = {10.1126/science.1197761},
language = {en},
number = {6017},
urldate = {2014-10-06},
journal = {Science},
url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1197761},
author = {Colbourne, J. K. and Pfrender, M. E. and Gilbert, D. and Thomas, W. K. and Tucker, A. and Oakley, T. H. and Tokishita, S. and Aerts, A. and Arnold, G. J. and Basu, M. K. and Bauer, D. J. and Caceres, C. E. and Carmel, L. and Casola, C. and Choi, J.-H. and Detter, J. C. and Dong, Q. and Dusheyko, S. and Eads, B. D. and Frohlich, T. and {Geiler-Samerotte}, K. A. and Gerlach, D. and Hatcher, P. and Jogdeo, S. and Krijgsveld, J. and Kriventseva, E. V. and Kultz, D. and Laforsch, C. and Lindquist, E. and Lopez, J. and Manak, J. R. and Muller, J. and Pangilinan, J. and Patwardhan, R. P. and Pitluck, S. and Pritham, E. J. and Rechtsteiner, A. and Rho, M. and Rogozin, I. B. and Sakarya, O. and Salamov, A. and Schaack, S. and Shapiro, H. and Shiga, Y. and Skalitzky, C. and Smith, Z. and Souvorov, A. and Sung, W. and Tang, Z. and Tsuchiya, D. and Tu, H. and Vos, H. and Wang, M. and Wolf, Y. I. and Yamagata, H. and Yamada, T. and Ye, Y. and Shaw, J. R. and Andrews, J. and Crease, T. J. and Tang, H. and Lucas, S. M. and Robertson, H. M. and Bork, P. and Koonin, E. V. and Zdobnov, E. M. and Grigoriev, I. V. and Lynch, M. and Boore, J. L.},
month = feb,
year = {2011},
keywords = {Genome,sequencing,water flea},
pages = {555-561}
}
@article{Scott2014,
title = {Genome of the House Fly, {{Musca}} Domestica {{L}}., a Global Vector of Diseases with Adaptations to a Septic Environment},
volume = {15},
issn = {1465-6906},
doi = {10.1186/s13059-014-0466-3},
language = {en},
number = {10},
urldate = {2014-10-22},
journal = {Genome Biology},
url = {http://genomebiology.com/2014/15/10/466},
author = {Scott, Jeffrey G and Warren, Wesley C and Beukeboom, Leo W and Bopp, Daniel and Clark, Andrew G and Giers, Sarah D and Hediger, Monika and Jones, Andrew K and Kasai, Shinji and Leichter, Cheryl A and Li, Ming and Meisel, Richard P and Minx, Patrick and Murphy, Terence D and Nelson, David R and Reid, William R and Rinkevich, Frank D and Robertson, Hugh M and Sackton, Timothy B and Sattelle, David B and {Thibaud-Nissen}, Francoise and Tomlinson, Chad and {van de Zande}, Louis and Walden, Kimberly and Wilson, Richard K and Liu, Nannan},
year = {2014},
keywords = {Genome,assembly,transposable element,repeat,fly,sequencing},
pages = {466},
file = {/home/mpetersen/bib/storage/I4WEUTIY/s13059-014-0466-3.pdf;/home/mpetersen/bib/storage/NUD5MUTU/s13059-014-0466-3.pdf}
}
@article{Werren2010,
title = {Functional and Evolutionary Insights from the Genomes of Three Parasitoid {{Nasonia}} Species},
volume = {327},
issn = {0036-8075, 1095-9203},
doi = {10.1126/science.1178028},
language = {en},
number = {5963},
urldate = {2014-10-23},
journal = {Science},
url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1178028},
author = {Werren, J. H. and Richards, S. and Desjardins, C. A. and Niehuis, O. and Gadau, J. and Colbourne, J. K. and {The Nasonia Genome Working Group} and Beukeboom, L. W. and Desplan, C. and Elsik, C. G. and Grimmelikhuijzen, C. J. P. and Kitts, P. and Lynch, J. A. and Murphy, T. and Oliveira, D. C. S. G. and Smith, C. D. and v. d. Zande, L. and Worley, K. C. and Zdobnov, E. M. and Aerts, M. and Albert, S. and Anaya, V. H. and Anzola, J. M. and Barchuk, A. R. and Behura, S. K. and Bera, A. N. and Berenbaum, M. R. and Bertossa, R. C. and Bitondi, M. M. G. and Bordenstein, S. R. and Bork, P. and {Bornberg-Bauer}, E. and Brunain, M. and Cazzamali, G. and Chaboub, L. and Chacko, J. and Chavez, D. and Childers, C. P. and Choi, J.-H. and Clark, M. E. and Claudianos, C. and Clinton, R. A. and Cree, A. G. and Cristino, A. S. and Dang, P. M. and Darby, A. C. and {de Graaf}, D. C. and Devreese, B. and Dinh, H. H. and Edwards, R. and Elango, N. and Elhaik, E. and Ermolaeva, O. and Evans, J. D. and Foret, S. and Fowler, G. R. and Gerlach, D. and Gibson, J. D. and Gilbert, D. G. and Graur, D. and Grunder, S. and Hagen, D. E. and Han, Y. and Hauser, F. and Hultmark, D. and Hunter, H. C. and Hurst, G. D. D. and Jhangian, S. N. and Jiang, H. and Johnson, R. M. and Jones, A. K. and Junier, T. and Kadowaki, T. and Kamping, A. and Kapustin, Y. and Kechavarzi, B. and Kim, J. and Kim, J. and Kiryutin, B. and Koevoets, T. and Kovar, C. L. and Kriventseva, E. V. and Kucharski, R. and Lee, H. and Lee, S. L. and Lees, K. and Lewis, L. R. and Loehlin, D. W. and Logsdon, J. M. and Lopez, J. A. and Lozado, R. J. and Maglott, D. and Maleszka, R. and Mayampurath, A. and Mazur, D. J. and McClure, M. A. and Moore, A. D. and Morgan, M. B. and Muller, J. and {Munoz-Torres}, M. C. and Muzny, D. M. and Nazareth, L. V. and Neupert, S. and Nguyen, N. B. and Nunes, F. M. F. and Oakeshott, J. G. and Okwuonu, G. O. and Pannebakker, B. A. and Pejaver, V. R. and Peng, Z. and Pratt, S. C. and Predel, R. and Pu, L.-L. and Ranson, H. and Raychoudhury, R. and Rechtsteiner, A. and Reid, J. G. and Riddle, M. and {Romero-Severson}, J. and Rosenberg, M. and Sackton, T. B. and Sattelle, D. B. and Schluns, H. and Schmitt, T. and Schneider, M. and Schuler, A. and Schurko, A. M. and Shuker, D. M. and Simoes, Z. L. P. and Sinha, S. and Smith, Z. and Souvorov, A. and Springauf, A. and Stafflinger, E. and Stage, D. E. and Stanke, M. and Tanaka, Y. and Telschow, A. and Trent, C. and Vattathil, S. and Viljakainen, L. and Wanner, K. W. and Waterhouse, R. M. and Whitfield, J. B. and Wilkes, T. E. and Williamson, M. and Willis, J. H. and Wolschin, F. and Wyder, S. and Yamada, T. and Yi, S. V. and Zecher, C. N. and Zhang, L. and Gibbs, R. A.},
month = jan,
year = {2010},
keywords = {Animals,Sequence Analysis,DNA,Genetic Speciation,Genome,Genetic,Genetic Variation,Molecular Sequence Data,Genes,Insect Proteins,Biological Evolution,Sequence Analysis; DNA,Arthropods,Quantitative Trait Loci,nasonia,wasp,Male,DNA Transposable Elements,Female,Genes; Insect,Genome; Insect,DNA Methylation,Gene Transfer; Horizontal,Host-Parasite Interactions,Insect Viruses,Insects,Recombination; Genetic,Wasp Venoms,Wasps,Wolbachia,Insect,Gene Transfer,Horizontal,Recombination},
pages = {343-348},
file = {/home/mpetersen/bib/storage/6GT5JCVZ/NasoniaScience2010.pdf;/home/mpetersen/bib/storage/WKIWEW6X/NasoniaScience2010.pdf}
}
@article{Zhan2011,
title = {The {{Monarch Butterfly Genome Yields Insights}} into {{Long}}-{{Distance Migration}}},
volume = {147},
issn = {00928674},
doi = {10.1016/j.cell.2011.09.052},
language = {en},
number = {5},
urldate = {2014-10-31},
journal = {Cell},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0092867411012682},
author = {Zhan, Shuai and Merlin, Christine and Boore, Jeffrey L. and Reppert, Steven M.},
month = nov,
year = {2011},
pages = {1171-1185},
file = {/home/mpetersen/bib/storage/BIWLVEZK/1-s2.0-S0092867411012682-main.pdf;/home/mpetersen/bib/storage/WG45RMJA/1-s2.0-S0092867411012682-main.pdf},
note = {Danaus Plexippus}
}
@article{Schreiber2009,
title = {{{OrthoSelect}}: A Protocol for Selecting Orthologous Groups in Phylogenomics},
volume = {10},
issn = {1471-2105},
shorttitle = {{{OrthoSelect}}},
doi = {10.1186/1471-2105-10-219},
language = {en},
number = {1},
urldate = {2014-11-15},
journal = {BMC Bioinformatics},
url = {http://www.biomedcentral.com/1471-2105/10/219},
author = {Schreiber, Fabian and Pick, Kerstin and Erpenbeck, Dirk and W\"orheide, Gert and Morgenstern, Burkhard},
year = {2009},
pages = {219}
}
@article{Arensburger2010,
title = {Sequencing of {{Culex}} Quinquefasciatus {{Establishes}} a {{Platform}} for {{Mosquito Comparative Genomics}}},
volume = {330},
issn = {0036-8075, 1095-9203},
doi = {10.1126/science.1191864},
language = {en},
number = {6000},
urldate = {2014-11-17},
journal = {Science},
url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1191864},
author = {Arensburger, P. and Megy, K. and Waterhouse, R. M. and Abrudan, J. and Amedeo, P. and Antelo, B. and Bartholomay, L. and Bidwell, S. and Caler, E. and Camara, F. and Campbell, C. L. and Campbell, K. S. and Casola, C. and Castro, M. T. and Chandramouliswaran, I. and Chapman, S. B. and Christley, S. and Costas, J. and Eisenstadt, E. and Feschotte, C. and {Fraser-Liggett}, C. and Guigo, R. and Haas, B. and Hammond, M. and Hansson, B. S. and Hemingway, J. and Hill, S. R. and Howarth, C. and Ignell, R. and Kennedy, R. C. and Kodira, C. D. and Lobo, N. F. and Mao, C. and Mayhew, G. and Michel, K. and Mori, A. and Liu, N. and Naveira, H. and Nene, V. and Nguyen, N. and Pearson, M. D. and Pritham, E. J. and Puiu, D. and Qi, Y. and Ranson, H. and Ribeiro, J. M. C. and Roberston, H. M. and Severson, D. W. and Shumway, M. and Stanke, M. and Strausberg, R. L. and Sun, C. and Sutton, G. and Tu, Z. and Tubio, J. M. C. and Unger, M. F. and Vanlandingham, D. L. and Vilella, A. J. and White, O. and White, J. R. and Wondji, C. S. and Wortman, J. and Zdobnov, E. M. and Birren, B. and Christensen, B. M. and Collins, F. H. and Cornel, A. and Dimopoulos, G. and Hannick, L. I. and Higgs, S. and Lanzaro, G. C. and Lawson, D. and Lee, N. H. and Muskavitch, M. A. T. and Raikhel, A. S. and Atkinson, P. W.},
month = oct,
year = {2010},
pages = {86-88},
file = {/home/mpetersen/bib/storage/IEXJYIPX/Arensburger_Science_2010.pdf;/home/mpetersen/bib/storage/PCJSXTDZ/Arensburger_Science_2010.pdf}
}
@article{Bohne2008,
title = {Transposable Elements as Drivers of Genomic and Biological Diversity in Vertebrates},
volume = {16},
issn = {0967-3849, 1573-6849},
doi = {10.1007/s10577-007-1202-6},
language = {en},
number = {1},
urldate = {2015-01-07},
journal = {Chromosome Research},
url = {http://link.springer.com/10.1007/s10577-007-1202-6},
author = {B\"ohne, Astrid and Brunet, Fr\'ed\'eric and {Galiana-Arnoux}, Delphine and Schultheis, Christina and Volff, Jean-Nicolas},
month = mar,
year = {2008},
pages = {203-215},
file = {/home/mpetersen/bib/storage/KQIA9G5W/review vert evolution.pdf}
}
@article{Kriventseva2015,
title = {{{OrthoDB}} v8: Update of the Hierarchical Catalog of Orthologs and the Underlying Free Software},
volume = {43},
issn = {0305-1048, 1362-4962},
shorttitle = {{{OrthoDB}} V8},
doi = {10.1093/nar/gku1220},
language = {en},
number = {D1},
urldate = {2015-02-26},
journal = {Nucleic Acids Research},
url = {http://nar.oxfordjournals.org/lookup/doi/10.1093/nar/gku1220},
author = {Kriventseva, E. V. and Tegenfeldt, F. and Petty, T. J. and Waterhouse, R. M. and Simao, F. A. and Pozdnyakov, I. A. and Ioannidis, P. and Zdobnov, E. M.},
month = jan,
year = {2015},
pages = {D250-D256},
file = {/home/mpetersen/bib/storage/A42ELKZM/gku1220.pdf}
}
@article{Struck2014,
title = {Platyzoan Paraphyly Based on Phylogenomic Data Supports a Noncoelomate Ancestry of {{Spiralia}}},
volume = {31},
issn = {0737-4038, 1537-1719},
doi = {10.1093/molbev/msu143},
language = {en},
number = {7},
urldate = {2015-03-06},
journal = {Molecular Biology and Evolution},
url = {http://mbe.oxfordjournals.org/cgi/doi/10.1093/molbev/msu143},
author = {Struck, T. H. and {Wey-Fabrizius}, A. R. and Golombek, A. and Hering, L. and Weigert, A. and Bleidorn, C. and Klebow, S. and Iakovenko, N. and Hausdorf, B. and Petersen, M. and Kuck, P. and Herlyn, H. and Hankeln, T.},
month = jul,
year = {2014},
pages = {1833-1849},
file = {/home/mpetersen/bib/storage/UQBKJ798/0000000e.Struck_MolBiolEvol2014AdvancedPublication.pdf}
}
@article{Cong2015a,
title = {Tiger {{Swallowtail Genome Reveals Mechanisms}} for {{Speciation}} and {{Caterpillar Chemical Defense}}},
volume = {10},
issn = {22111247},
doi = {10.1016/j.celrep.2015.01.026},
language = {en},
number = {6},
urldate = {2015-03-06},
journal = {Cell Reports},
url = {http://linkinghub.elsevier.com/retrieve/pii/S2211124715000510},
author = {Cong, Qian and Borek, Dominika and Otwinowski, Zbyszek and Grishin, Nick V.},
month = feb,
year = {2015},
pages = {910-919},
file = {/home/mpetersen/bib/storage/GJQXQKVZ/Papilio.pdf;/home/mpetersen/bib/storage/TV5AYKAE/Papilio.pdf}
}
@article{Barron2014,
title = {Population {{Genomics}} of {{Transposable Elements}} in {{Drosophila}}},
volume = {48},
issn = {0066-4197, 1545-2948},
doi = {10.1146/annurev-genet-120213-092359},
language = {en},
number = {1},
urldate = {2015-11-25},
journal = {Annual Review of Genetics},
url = {http://www.annualreviews.org/doi/abs/10.1146/annurev-genet-120213-092359},
author = {Barr\'on, Maite G. and {Fiston-Lavier}, Anna-Sophie and Petrov, Dmitri A. and Gonz\'alez, Josefa},
month = nov,
year = {2014},
pages = {561-581},
file = {/home/mpetersen/bib/storage/389HWMIX/annurev-genet-120213-092359.pdf}
}
@article{Peters2014,
title = {The Evolutionary History of Holometabolous Insects Inferred from Transcriptome-Based Phylogeny and Comprehensive Morphological Data},
volume = {14},
issn = {1471-2148},
doi = {10.1186/1471-2148-14-52},
language = {en},
number = {1},
urldate = {2015-05-05},
journal = {BMC Evolutionary Biology},
url = {http://www.biomedcentral.com/1471-2148/14/52},
author = {Peters, Ralph S and Meusemann, Karen and Petersen, Malte and Mayer, Christoph and Wilbrandt, Jeanne and Ziesmann, Tanja and Donath, Alexander and Kjer, Karl M and Asp\"ock, Ulrike and Asp\"ock, Horst and Aberer, Andre and Stamatakis, Alexandros and Friedrich, Frank and H\"unefeld, Frank and Niehuis, Oliver and Beutel, Rolf G and Misof, Bernhard},
year = {2014},
pages = {52},
file = {/home/mpetersen/bib/storage/N8X4AUGR/Peters et al. - 2014 - The evolutionary history of holometabolous insects}
}
@article{DellAmpio2014,
title = {Decisive {{Data Sets}} in {{Phylogenomics}}: {{Lessons}} from {{Studies}} on the {{Phylogenetic Relationships}} of {{Primarily Wingless Insects}}},
volume = {31},
issn = {0737-4038, 1537-1719},
shorttitle = {Decisive {{Data Sets}} in {{Phylogenomics}}},
doi = {10.1093/molbev/mst196},
language = {en},
number = {1},
urldate = {2015-05-05},
journal = {Molecular Biology and Evolution},
url = {http://mbe.oxfordjournals.org/cgi/doi/10.1093/molbev/mst196},
author = {Dell'Ampio, E. and Meusemann, K. and Szucsich, N. U. and Peters, R. S. and Meyer, B. and Borner, J. and Petersen, M. and Aberer, A. J. and Stamatakis, A. and Walzl, M. G. and Minh, B. Q. and {von Haeseler}, A. and Ebersberger, I. and Pass, G. and Misof, B.},
month = jan,
year = {2014},
pages = {239-249},
file = {/home/mpetersen/bib/storage/QAUZZE57/Dell'Ampio et al. - 2014 - Decisive Data Sets in Phylogenomics Lessons from .pdf}
}
@article{Wright2014,
title = {Metabolic 'engines' of Flight Drive Genome Size Reduction in Birds},
volume = {281},
issn = {0962-8452, 1471-2954},
doi = {10.1098/rspb.2013.2780},
language = {en},
number = {1779},
urldate = {2015-05-08},
journal = {Proceedings of the Royal Society B: Biological Sciences},
url = {http://rspb.royalsocietypublishing.org/cgi/doi/10.1098/rspb.2013.2780},
author = {Wright, N. A. and Gregory, T. R. and Witt, C. C.},
month = jan,
year = {2014},
pages = {20132780-20132780}
}
@article{Hubley2015,
title = {The {{Dfam}} Database of Repetitive {{DNA}} Families},
issn = {0305-1048, 1362-4962},
doi = {10.1093/nar/gkv1272},
abstract = {Repetitive DNA, especially that due to transposable elements (TEs), makes up a large fraction of many genomes. Dfam is an open access database of families of repetitive DNA elements, in which each family is represented by a multiple sequence alignment and a profile hidden Markov model (HMM). The initial release of Dfam, featured in the 2013 NAR Database Issue, contained 1143 families of repetitive elements found in humans, and was used to produce more than 100 Mb of additional annotation of TE-derived regions in the human genome, with improved speed. Here, we describe recent advances, most notably expansion to 4150 total families including a comprehensive set of known repeat families from four new organisms (mouse, zebrafish, fly and nematode). We describe improvements to coverage, and to our methods for identifying and reducing false annotation. We also describe updates to the website interface. The Dfam website has moved to http://dfam.org. Seed alignments, profile HMMs, hit lists and other underlying data are available for download.},
language = {en},
urldate = {2015-12-03},
journal = {Nucleic Acids Research},
url = {http://nar.oxfordjournals.org/content/early/2015/11/25/nar.gkv1272},
author = {Hubley, Robert and Finn, Robert D. and Clements, Jody and Eddy, Sean R. and Jones, Thomas A. and Bao, Weidong and Smit, Arian F. A. and Wheeler, Travis J.},
month = nov,
year = {2015},
pages = {gkv1272},
file = {/home/mpetersen/bib/storage/J8KXHHH8/gkv1272.pdf;/home/mpetersen/bib/storage/DTJUWPVQ/nar.gkv1272.html},
pmid = {26612867}
}
@article{Lander2001,
title = {Initial Sequencing and Analysis of the Human Genome},
volume = {409},
issn = {0028-0836},
doi = {10.1038/35057062},
abstract = {The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.},
language = {eng},
number = {6822},
journal = {Nature},
author = {Lander, E. S. and Linton, L. M. and Birren, B. and Nusbaum, C. and Zody, M. C. and Baldwin, J. and Devon, K. and Dewar, K. and Doyle, M. and FitzHugh, W. and Funke, R. and Gage, D. and Harris, K. and Heaford, A. and Howland, J. and Kann, L. and Lehoczky, J. and LeVine, R. and McEwan, P. and McKernan, K. and Meldrim, J. and Mesirov, J. P. and Miranda, C. and Morris, W. and Naylor, J. and Raymond, C. and Rosetti, M. and Santos, R. and Sheridan, A. and Sougnez, C. and {Stange-Thomann}, N. and Stojanovic, N. and Subramanian, A. and Wyman, D. and Rogers, J. and Sulston, J. and Ainscough, R. and Beck, S. and Bentley, D. and Burton, J. and Clee, C. and Carter, N. and Coulson, A. and Deadman, R. and Deloukas, P. and Dunham, A. and Dunham, I. and Durbin, R. and French, L. and Grafham, D. and Gregory, S. and Hubbard, T. and Humphray, S. and Hunt, A. and Jones, M. and Lloyd, C. and McMurray, A. and Matthews, L. and Mercer, S. and Milne, S. and Mullikin, J. C. and Mungall, A. and Plumb, R. and Ross, M. and Shownkeen, R. and Sims, S. and Waterston, R. H. and Wilson, R. K. and Hillier, L. W. and McPherson, J. D. and Marra, M. A. and Mardis, E. R. and Fulton, L. A. and Chinwalla, A. T. and Pepin, K. H. and Gish, W. R. and Chissoe, S. L. and Wendl, M. C. and Delehaunty, K. D. and Miner, T. L. and Delehaunty, A. and Kramer, J. B. and Cook, L. L. and Fulton, R. S. and Johnson, D. L. and Minx, P. J. and Clifton, S. W. and Hawkins, T. and Branscomb, E. and Predki, P. and Richardson, P. and Wenning, S. and Slezak, T. and Doggett, N. and Cheng, J. F. and Olsen, A. and Lucas, S. and Elkin, C. and Uberbacher, E. and Frazier, M. and Gibbs, R. A. and Muzny, D. M. and Scherer, S. E. and Bouck, J. B. and Sodergren, E. J. and Worley, K. C. and Rives, C. M. and Gorrell, J. H. and Metzker, M. L. and Naylor, S. L. and Kucherlapati, R. S. and Nelson, D. L. and Weinstock, G. M. and Sakaki, Y. and Fujiyama, A. and Hattori, M. and Yada, T. and Toyoda, A. and Itoh, T. and Kawagoe, C. and Watanabe, H. and Totoki, Y. and Taylor, T. and Weissenbach, J. and Heilig, R. and Saurin, W. and Artiguenave, F. and Brottier, P. and Bruls, T. and Pelletier, E. and Robert, C. and Wincker, P. and Smith, D. R. and {Doucette-Stamm}, L. and Rubenfield, M. and Weinstock, K. and Lee, H. M. and Dubois, J. and Rosenthal, A. and Platzer, M. and Nyakatura, G. and Taudien, S. and Rump, A. and Yang, H. and Yu, J. and Wang, J. and Huang, G. and Gu, J. and Hood, L. and Rowen, L. and Madan, A. and Qin, S. and Davis, R. W. and Federspiel, N. A. and Abola, A. P. and Proctor, M. J. and Myers, R. M. and Schmutz, J. and Dickson, M. and Grimwood, J. and Cox, D. R. and Olson, M. V. and Kaul, R. and Raymond, C. and Shimizu, N. and Kawasaki, K. and Minoshima, S. and Evans, G. A. and Athanasiou, M. and Schultz, R. and Roe, B. A. and Chen, F. and Pan, H. and Ramser, J. and Lehrach, H. and Reinhardt, R. and McCombie, W. R. and {de la Bastide}, M. and Dedhia, N. and Bl\"ocker, H. and Hornischer, K. and Nordsiek, G. and Agarwala, R. and Aravind, L. and Bailey, J. A. and Bateman, A. and Batzoglou, S. and Birney, E. and Bork, P. and Brown, D. G. and Burge, C. B. and Cerutti, L. and Chen, H. C. and Church, D. and Clamp, M. and Copley, R. R. and Doerks, T. and Eddy, S. R. and Eichler, E. E. and Furey, T. S. and Galagan, J. and Gilbert, J. G. and Harmon, C. and Hayashizaki, Y. and Haussler, D. and Hermjakob, H. and Hokamp, K. and Jang, W. and Johnson, L. S. and Jones, T. A. and Kasif, S. and Kaspryzk, A. and Kennedy, S. and Kent, W. J. and Kitts, P. and Koonin, E. V. and Korf, I. and Kulp, D. and Lancet, D. and Lowe, T. M. and McLysaght, A. and Mikkelsen, T. and Moran, J. V. and Mulder, N. and Pollara, V. J. and Ponting, C. P. and Schuler, G. and Schultz, J. and Slater, G. and Smit, A. F. and Stupka, E. and Szustakowski, J. and {Thierry-Mieg}, D. and {Thierry-Mieg}, J. and Wagner, L. and Wallis, J. and Wheeler, R. and Williams, A. and Wolf, Y. I. and Wolfe, K. H. and Yang, S. P. and Yeh, R. F. and Collins, F. and Guyer, M. S. and Peterson, J. and Felsenfeld, A. and Wetterstrand, K. A. and Patrinos, A. and Morgan, M. J. and {de Jong}, P. and Catanese, J. J. and Osoegawa, K. and Shizuya, H. and Choi, S. and Chen, Y. J. and Szustakowki, J. and {International Human Genome Sequencing Consortium}},
month = feb,
year = {2001},
keywords = {Animals,Conserved Sequence,Humans,Proteome,Chromosome Mapping,Databases; Factual,Genes,Proteins,RNA,Gene Duplication,Evolution; Molecular,Mutation,Sequence Analysis; DNA,Genome; Human,Species Specificity,DNA Transposable Elements,Drug Industry,CpG Islands,Forecasting,GC Rich Sequence,Genetic Diseases; Inborn,Genetics; Medical,Human Genome Project,Private Sector,Public Sector,Repetitive Sequences; Nucleic Acid},
pages = {860-921},
file = {/home/mpetersen/bib/storage/FEC923SA/409860a0.pdf},
pmid = {11237011}
}
@article{You2013,
title = {A Heterozygous Moth Genome Provides Insights into Herbivory and Detoxification},
volume = {45},
issn = {1061-4036, 1546-1718},
doi = {10.1038/ng.2524},
number = {2},
urldate = {2015-06-25},
journal = {Nature Genetics},
url = {http://www.nature.com/doifinder/10.1038/ng.2524},
author = {You, Minsheng and Yue, Zhen and He, Weiyi and Yang, Xinhua and Yang, Guang and Xie, Miao and Zhan, Dongliang and Baxter, Simon W and Vasseur, Liette and Gurr, Geoff M and Douglas, Carl J and Bai, Jianlin and Wang, Ping and Cui, Kai and Huang, Shiguo and Li, Xianchun and Zhou, Qing and Wu, Zhangyan and Chen, Qilin and Liu, Chunhui and Wang, Bo and Li, Xiaojing and Xu, Xiufeng and Lu, Changxin and Hu, Min and Davey, John W and Smith, Sandy M and Chen, Mingshun and Xia, Xiaofeng and Tang, Weiqi and Ke, Fushi and Zheng, Dandan and Hu, Yulan and Song, Fengqin and You, Yanchun and Ma, Xiaoli and Peng, Lu and Zheng, Yunkai and Liang, Yong and Chen, Yaqiong and Yu, Liying and Zhang, Younan and Liu, Yuanyuan and Li, Guoqing and Fang, Lin and Li, Jingxiang and Zhou, Xin and Luo, Yadan and Gou, Caiyun and Wang, Junyi and Wang, Jian and Yang, Huanming and Wang, Jun},
month = jan,
year = {2013},
pages = {220-225}
}
@article{Staton2015a,
title = {Transposome: A Toolkit for Annotation of Transposable Element Families from Unassembled Sequence Reads},
volume = {31},
issn = {1367-4803, 1460-2059},
shorttitle = {Transposome},
doi = {10.1093/bioinformatics/btv059},
language = {en},
number = {11},
urldate = {2015-06-25},
journal = {Bioinformatics},
url = {http://bioinformatics.oxfordjournals.org/cgi/doi/10.1093/bioinformatics/btv059},
author = {Staton, S. E. and Burke, J. M.},
month = jun,
year = {2015},
pages = {1827-1829},
file = {/home/mpetersen/bib/storage/IMK879P3/Bioinformatics-2015-Staton-bioinformatics_btv059.pdf}
}
@article{Gonzalez2008,
title = {High {{Rate}} of {{Recent Transposable Element}}\textendash{{Induced Adaptation}} in {{Drosophila}} Melanogaster},
volume = {6},
issn = {1544-9173, 1545-7885},
doi = {10.1371/journal.pbio.0060251},
language = {en},
number = {10},
urldate = {2015-07-15},
journal = {PLoS Biology},
url = {http://biology.plosjournals.org/perlserv/?request=get-document\&doi=10.1371\%2Fjournal.pbio.0060251},
author = {Gonz\'alez, Josefa and Lenkov, Kapa and Lipatov, Mikhail and Macpherson, J. Michael and Petrov, Dmitri A.},
editor = {Noor, Mohamed A. F.},
year = {2008},
pages = {e251}
}
@article{Camacho2009,
title = {{{BLAST}}+: Architecture and Applications},
volume = {10},
issn = {1471-2105},
shorttitle = {{{BLAST}}+},
doi = {10.1186/1471-2105-10-421},
language = {en},
number = {1},
urldate = {2015-08-04},
journal = {BMC Bioinformatics},
url = {http://www.biomedcentral.com/1471-2105/10/421},
author = {Camacho, Christiam and Coulouris, George and Avagyan, Vahram and Ma, Ning and Papadopoulos, Jason and Bealer, Kevin and Madden, Thomas L},
year = {2009},
keywords = {Sequence Alignment,Computational Biology,Software,Databases; Genetic},
pages = {421}
}
@article{Buchon2006,
title = {{{RNAi}}: A Defensive {{RNA}}-Silencing against Viruses and Transposable Elements},
volume = {96},
issn = {0018-067X, 1365-2540},
shorttitle = {{{RNAi}}},
doi = {10.1038/sj.hdy.6800789},
number = {2},
urldate = {2015-08-07},
journal = {Heredity},
url = {http://www.nature.com/doifinder/10.1038/sj.hdy.6800789},
author = {Buchon, N and Vaury, C},
month = feb,
year = {2006},
pages = {195-202}
}
@book{Fedoroff2013,
address = {Oxford, UK},
title = {Plant {{Transposons}} and {{Genome Dynamics}} in {{Evolution}}: {{Fedoroff}}/{{Plant Transposons}} and {{Genome Dynamics}} in {{Evolution}}},
isbn = {978-1-118-50015-6 978-0-470-95994-7},
shorttitle = {Plant {{Transposons}} and {{Genome Dynamics}} in {{Evolution}}},
language = {en},
urldate = {2015-08-07},
publisher = {{Wiley-Blackwell}},
url = {http://doi.wiley.com/10.1002/9781118500156},
editor = {Fedoroff, Nina V.},
month = apr,
year = {2013}
}
@article{Nygaard2011,
title = {The Genome of the Leaf-Cutting Ant {{Acromyrmex}} Echinatior Suggests Key Adaptations to Advanced Social Life and Fungus Farming},
volume = {21},
issn = {1549-5469},
doi = {10.1101/gr.121392.111},
abstract = {We present a high-quality ({$>$}100\texttimes{} depth) Illumina genome sequence of the leaf-cutting ant Acromyrmex echinatior, a model species for symbiosis and reproductive conflict studies. We compare this genome with three previously sequenced genomes of ants from different subfamilies and focus our analyses on aspects of the genome likely to be associated with known evolutionary changes. The first is the specialized fungal diet of A. echinatior, where we find gene loss in the ant's arginine synthesis pathway, loss of detoxification genes, and expansion of a group of peptidase proteins. One of these is a unique ant-derived contribution to the fecal fluid, which otherwise consists of "garden manuring" fungal enzymes that are unaffected by ant digestion. The second is multiple mating of queens and ejaculate competition, which may be associated with a greatly expanded nardilysin-like peptidase gene family. The third is sex determination, where we could identify only a single homolog of the feminizer gene. As other ants and the honeybee have duplications of this gene, we hypothesize that this may partly explain the frequent production of diploid male larvae in A. echinatior. The fourth is the evolution of eusociality, where we find a highly conserved ant-specific profile of neuropeptide genes that may be related to caste determination. These first analyses of the A. echinatior genome indicate that considerable genetic changes are likely to have accompanied the transition from hunter-gathering to agricultural food production 50 million years ago, and the transition from single to multiple queen mating 10 million years ago.},
language = {eng},
number = {8},
journal = {Genome Research},
author = {Nygaard, Sanne and Zhang, Guojie and Schi\o{}tt, Morten and Li, Cai and Wurm, Yannick and Hu, Haofu and Zhou, Jiajian and Ji, Lu and Qiu, Feng and Rasmussen, Morten and Pan, Hailin and Hauser, Frank and Krogh, Anders and Grimmelikhuijzen, Cornelis J. P. and Wang, Jun and Boomsma, Jacobus J.},
month = aug,
year = {2011},
keywords = {Animals,Phylogeny,Genome,Fungal,Molecular Sequence Data,Fungi,Genes,Insect Proteins,Genes; Fungal,Symbiosis,Male,Adaptation; Physiological,Ants,Sexual Behavior; Animal,Adaptation,Animal,Physiological,Sexual Behavior},
pages = {1339-1348},
pmid = {21719571},
pmcid = {PMC3149500}
}
@article{Honeybee2006,
title = {Insights into Social Insects from the Genome of the Honeybee {{Apis}} Mellifera},
volume = {443},
issn = {1476-4687},
doi = {10.1038/nature05260},
abstract = {Here we report the genome sequence of the honeybee Apis mellifera, a key model for social behaviour and essential to global ecology through pollination. Compared with other sequenced insect genomes, the A. mellifera genome has high A+T and CpG contents, lacks major transposon families, evolves more slowly, and is more similar to vertebrates for circadian rhythm, RNA interference and DNA methylation genes, among others. Furthermore, A. mellifera has fewer genes for innate immunity, detoxification enzymes, cuticle-forming proteins and gustatory receptors, more genes for odorant receptors, and novel genes for nectar and pollen utilization, consistent with its ecology and social organization. Compared to Drosophila, genes in early developmental pathways differ in Apis, whereas similarities exist for functions that differ markedly, such as sex determination, brain function and behaviour. Population genetics suggests a novel African origin for the species A. mellifera and insights into whether Africanized bees spread throughout the New World via hybridization or displacement.},
language = {eng},
number = {7114},
journal = {Nature},
author = {{Honeybee Genome Sequencing Consortium}},
month = oct,
year = {2006},
keywords = {Animals,Molecular,Phylogeny,Proteome,Genome,Genomics,Molecular Sequence Data,Genes,Evolution,Evolution; Molecular,Male,DNA Transposable Elements,Female,Base Composition,Bees,Behavior; Animal,Gene Expression Regulation,Genes; Insect,Genome; Insect,Immunity,Physical Chromosome Mapping,Reproduction,Signal Transduction,Social Behavior,Telomere,Insect,Animal,Behavior},
pages = {931-949},
pmid = {17073008},
pmcid = {PMC2048586}
}
@article{Bonasio2010,
title = {Genomic Comparison of the Ants {{Camponotus}} Floridanus and {{Harpegnathos}} Saltator},
volume = {329},
issn = {1095-9203},
doi = {10.1126/science.1192428},
abstract = {The organized societies of ants include short-lived worker castes displaying specialized behavior and morphology and long-lived queens dedicated to reproduction. We sequenced and compared the genomes of two socially divergent ant species: Camponotus floridanus and Harpegnathos saltator. Both genomes contained high amounts of CpG, despite the presence of DNA methylation, which in non-Hymenoptera correlates with CpG depletion. Comparison of gene expression in different castes identified up-regulation of telomerase and sirtuin deacetylases in longer-lived H. saltator reproductives, caste-specific expression of microRNAs and SMYD histone methyltransferases, and differential regulation of genes implicated in neuronal function and chemical communication. Our findings provide clues on the molecular differences between castes in these two ants and establish a new experimental model to study epigenetics in aging and behavior.},
language = {eng},
number = {5995},
journal = {Science (New York, N.Y.)},
author = {Bonasio, Roberto and Zhang, Guojie and Ye, Chaoyang and Mutti, Navdeep S. and Fang, Xiaodong and Qin, Nan and Donahue, Greg and Yang, Pengcheng and Li, Qiye and Li, Cai and Zhang, Pei and Huang, Zhiyong and Berger, Shelley L. and Reinberg, Danny and Wang, Jun and Liebig, J\"urgen},
month = aug,
year = {2010},
keywords = {Animals,Proteome,Sequence Analysis,DNA,Amino Acid Sequence,Genome,Genetic,Molecular Sequence Data,Genes,Nucleic Acid,Insect Proteins,Sequence Analysis; DNA,Species Specificity,Repetitive Sequences; Nucleic Acid,Ants,Behavior; Animal,Gene Expression Regulation,Genes; Insect,Social Behavior,Aging,Dinucleoside Phosphates,Epigenesis; Genetic,Gene Expression Profiling,Group III Histone Deacetylases,Hydrocarbons,MicroRNAs,Protein Methyltransferases,Telomerase,Insect,Animal,Behavior,Epigenesis,Repetitive Sequences},
pages = {1068-1071},
pmid = {20798317},
pmcid = {PMC3772619}
}
@article{Suen2011,
title = {The Genome Gequence of the Leaf-Cutter Ant {{Atta}} Cephalotes Reveals Insights into {{Its}} Obligate Symbiotic Lifestyle},
volume = {7},
doi = {10.1371/journal.pgen.1002007},
abstract = {Author Summary
Leaf-cutter ant workers forage for and cut leaves that they use to support the growth of a specialized fungus, which serves as the colony's primary food source. The ability of these ants to grow their own food likely facilitated their emergence as one of the most dominant herbivores in New World tropical ecosystems, where leaf-cutter ants harvest more plant biomass than any other herbivore species. These ants have also evolved one of the most complex forms of division of labor, with colonies composed of different-sized workers specialized for different tasks. To gain insight into the biology of these ants, we sequenced the first genome of a leaf-cutter ant, Atta cephalotes. Our analysis of this genome reveals characteristics reflecting the obligate nutritional dependency of these ants on their fungus. These findings represent the first genetic evidence of a reduced capacity for nutrient acquisition in leaf-cutter ants, which is likely compensated for by their fungal symbiont. These findings parallel other nutritional host\textendash{}microbe symbioses, suggesting convergent genomic modifications in these types of associations.},
number = {2},
urldate = {2015-08-10},
journal = {PLoS Genet},
url = {http://dx.doi.org/10.1371/journal.pgen.1002007},
author = {Suen, Garret and Teiling, Clotilde and Li, Lewyn and Holt, Carson and Abouheif, Ehab and {Bornberg-Bauer}, Erich and Bouffard, Pascal and Caldera, Eric J. and Cash, Elizabeth and Cavanaugh, Amy and Denas, Olgert and Elhaik, Eran and Fav\'e, Marie-Julie and Gadau, J\"urgen and Gibson, Joshua D. and Graur, Dan and Grubbs, Kirk J. and Hagen, Darren E. and Harkins, Timothy T. and Helmkampf, Martin and Hu, Hao and Johnson, Brian R. and Kim, Jay and Marsh, Sarah E. and Moeller, Joseph A. and {Mu\~noz-Torres}, M\'onica C. and Murphy, Marguerite C. and Naughton, Meredith C. and Nigam, Surabhi and Overson, Rick and Rajakumar, Rajendhran and Reese, Justin T. and Scott, Jarrod J. and Smith, Chris R. and Tao, Shu and Tsutsui, Neil D. and Viljakainen, Lumi and Wissler, Lothar and Yandell, Mark D. and Zimmer, Fabian and Taylor, James and Slater, Steven C. and Clifton, Sandra W. and Warren, Wesley C. and Elsik, Christine G. and Smith, Christopher D. and Weinstock, George M. and Gerardo, Nicole M. and Currie, Cameron R.},
month = feb,
year = {2011},
pages = {e1002007},
file = {/home/mpetersen/bib/storage/PRMMGPI8/Suen et al. - 2011 - The Genome Sequence of the Leaf-Cutter Ant Atta ce.pdf;/home/mpetersen/bib/storage/QGBDBVWS/Suen et al. - 2011 - The Genome Sequence of the Leaf-Cutter Ant Atta ce.pdf}
}
@article{Chenais2012,
title = {The Impact of Transposable Elements on Eukaryotic Genomes: {{From}} Genome Size Increase to Genetic Adaptation to Stressful Environments},
volume = {509},
issn = {03781119},
shorttitle = {The Impact of Transposable Elements on Eukaryotic Genomes},
doi = {10.1016/j.gene.2012.07.042},
language = {en},
number = {1},
urldate = {2015-08-12},
journal = {Gene},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0378111912008931},
author = {Ch\'enais, Beno\^it and Caruso, Aurore and Hiard, Sophie and Casse, Nathalie},
month = nov,
year = {2012},
keywords = {Genome evolution,Gene expression,Insecticide resistance,Mutagenesis,genome evolution,gene expression,Genetic adaptation,Insecticide Resistance,mutagenesis,Stress response},
pages = {7-15},
file = {/home/mpetersen/bib/storage/7TWXBFZG/Chénais et al. - 2012 - The impact of transposable elements on eukaryotic .pdf;/home/mpetersen/bib/storage/MCC338P2/S0378111912008931.html}
}
@article{Kvist2013,
title = {Phylogenomics of {{Annelida}} Revisited: A Cladistic Approach Using Genome-Wide Expressed Sequence Tag Data Mining and Examining the Effects of Missing Data},
volume = {29},
copyright = {\textcopyright{} The Willi Hennig Society 2013},
issn = {1096-0031},
shorttitle = {Phylogenomics of {{Annelida}} Revisited},
doi = {10.1111/cla.12015},
abstract = {We present phylogenomic analyses of the most comprehensive molecular character set compiled for Annelida and its constituent taxa, including over 347~000 aligned nucleotide sites for 39 taxa. The nucleotide data set was recovered using a pre-existing amino acid data set of almost 48~000 aligned sites as a backbone for tBLASTn searches against NCBI. In addition, orthology determinations of the loci in the original amino acid data set were scrutinized using an All vs All Reciprocal Best Hit approach, employing BLASTp, and examining for statistical interdependency among the loci. This approach revealed considerable sequence redundancy among the loci in the original data set and a new data set was compiled, with the redundancy removed. The newly compiled nucleotide data set, the original amino acid data set, and the new reduced amino acid data set were subjected to parsimony analyses and two forms of bootstrap resampling. The last-named data set also was analysed using a maximum-likelihood approach. There were two main objectives to these analyses: (i) to examine the general topology, including support, resulting from the analyses of the new data sets and (ii) to assess the consistency of the branching patterns across optimality criteria by comparison with previous probabilistic approaches. The phylogenetic hypotheses resulting from analyses of the three data sets are largely unsupported, reflecting the continued difficulty of finding numerous, reliable, and suitable loci for a group as ancient as Annelida. Resulting parsimonious hypotheses disagree, in some respects, with the previous probabilistic approaches; Sedentaria and, in most cases, Errantia are not supported as monophyletic groups but Pleistoannelida is recovered as a (unsupported) monophyletic group in one of the three parsimony analyses as well as the likelihood analysis. In addition, we performed missing data titration studies to estimate the impact of missing data on overall support and support for specific clades.},
language = {en},
number = {4},
urldate = {2015-09-09},
journal = {Cladistics},
url = {http://onlinelibrary.wiley.com/doi/10.1111/cla.12015/abstract},
author = {Kvist, Sebastian and Siddall, Mark E.},
month = aug,
year = {2013},
pages = {435-448},
file = {/home/mpetersen/bib/storage/DFPZ34ZC/Kvist & Siddall, 2013 Annelida.pdf;/home/mpetersen/bib/storage/WNA3WWZC/abstract.html}
}
@article{Ellison2013,
title = {Dosage {{Compensation}} via {{Transposable Element Mediated Rewiring}} of a {{Regulatory Network}}},
volume = {342},
issn = {0036-8075, 1095-9203},
doi = {10.1126/science.1239552},
language = {en},
number = {6160},
urldate = {2015-08-24},
journal = {Science},
url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1239552},
author = {Ellison, C. E. and Bachtrog, D.},
month = nov,
year = {2013},
pages = {846-850}
}
@article{Altenhoff2015,
title = {The {{OMA}} Orthology Database in 2015: Function Predictions, Better Plant Support, Synteny View and Other Improvements},
volume = {43},
issn = {0305-1048, 1362-4962},
shorttitle = {The {{OMA}} Orthology Database in 2015},
doi = {10.1093/nar/gku1158},
language = {en},
number = {D1},
urldate = {2015-09-03},
journal = {Nucleic Acids Research},
url = {http://nar.oxfordjournals.org/lookup/doi/10.1093/nar/gku1158},
author = {Altenhoff, A. M. and {\v S}kunca, N. and Glover, N. and Train, C.-M. and Sueki, A. and Pili{\v z}ota, I. and Gori, K. and Tomiczek, B. and M\"uller, S. and Redestig, H. and Gonnet, G. H. and Dessimoz, C.},
month = jan,
year = {2015},
pages = {D240-D249}
}
@article{Sonnhammer2015,
title = {{{InParanoid}} 8: Orthology Analysis between 273 Proteomes, Mostly Eukaryotic},
volume = {43},
issn = {1362-4962},
shorttitle = {{{InParanoid}} 8},
doi = {10.1093/nar/gku1203},
abstract = {The InParanoid database (http://InParanoid.sbc.su.se) provides a user interface to orthologs inferred by the InParanoid algorithm. As there are now international efforts to curate and standardize complete proteomes, we have switched to using these resources rather than gathering and curating the proteomes ourselves. InParanoid release 8 is based on the 66 reference proteomes that the 'Quest for Orthologs' community has agreed on using, plus 207 additional proteomes from the UniProt complete proteomes--in total 273 species. These represent 246 eukaryotes, 20 bacteria and seven archaea. Compared to the previous release, this increases the number of species by 173\% and the number of pairwise species comparisons by 650\%. In turn, the number of ortholog groups has increased by 423\%. We present the contents and usages of InParanoid 8, and a detailed analysis of how the proteome content has changed since the previous release.},
language = {eng},
number = {Database issue},
journal = {Nucleic Acids Research},
author = {Sonnhammer, Erik L. L. and \"Ostlund, Gabriel},
month = jan,
year = {2015},
keywords = {Algorithms,Proteome,Databases; Protein,Sequence Homology; Amino Acid},
pages = {D234-239},
pmid = {25429972},
pmcid = {PMC4383983}
}
@article{Elliott2015a,
title = {What's in a Genome? {{The C}}-Value Enigma and the Evolution of Eukaryotic Genome Content},
volume = {370},
copyright = {\textcopyright{} 2015 The Author(s). Published by the Royal Society. All rights reserved.},
issn = {0962-8436, 1471-2970},
shorttitle = {What's in a Genome?},
doi = {10.1098/rstb.2014.0331},
abstract = {Some notable exceptions aside, eukaryotic genomes are distinguished from those of Bacteria and Archaea in a number of ways, including chromosome structure and number, repetitive DNA content, and the presence of introns in protein-coding regions. One of the most notable differences between eukaryotic and prokaryotic genomes is in size. Unlike their prokaryotic counterparts, eukaryotes exhibit enormous (more than 60 000-fold) variability in genome size which is not explained by differences in gene number. Genome size is known to correlate with cell size and division rate, and by extension with numerous organism-level traits such as metabolism, developmental rate or body size. Less well described are the relationships between genome size and other properties of the genome, such as gene content, transposable element content, base pair composition and related features. The rapid expansion of `complete' genome sequencing projects has, for the first time, made it possible to examine these relationships across a wide range of eukaryotes in order to shed new light on the causes and correlates of genome size diversity. This study presents the results of phylogenetically informed comparisons of genome data for more than 500 species of eukaryotes. Several relationships are described between genome size and other genomic parameters, and some recommendations are presented for how these insights can be extended even more broadly in the future.},
language = {en},
number = {1678},
urldate = {2015-09-03},
journal = {Phil. Trans. R. Soc. B},
url = {http://rstb.royalsocietypublishing.org/content/370/1678/20140331},
author = {Elliott, Tyler A. and Gregory, T. Ryan},
month = sep,
year = {2015},
pages = {20140331},
file = {/home/mpetersen/bib/storage/C785CRK3/20140331.html;/home/mpetersen/bib/storage/CHVDMK26/20140331.html},
pmid = {26323762}
}
@article{Cong2015,
title = {Skipper Genome Sheds Light on Unique Phenotypic Traits and Phylogeny},
volume = {16},
issn = {1471-2164},
doi = {10.1186/s12864-015-1846-0},
language = {en},
number = {1},
urldate = {2015-09-03},
journal = {BMC Genomics},
url = {http://www.biomedcentral.com/1471-2164/16/639},
author = {Cong, Qian and Borek, Dominika and Otwinowski, Zbyszek and Grishin, Nick V.},
month = dec,
year = {2015},
keywords = {Phylogeny,Lerema accius,Skipper butterflies,Whole genome,Comparative genomics,Lepidoptera,Genotype and phenotype},
file = {/home/mpetersen/bib/storage/VEBN7VS5/Cong et al. - 2015 - Skipper genome sheds light on unique phenotypic tr.pdf;/home/mpetersen/bib/storage/3X3QQXPW/639.html}
}
@article{Zhang2006,
title = {Comparison of Multiple Vertebrate Genomes Reveals the Birth and Evolution of Human Exons},
volume = {103},
number = {36},
urldate = {2015-09-10},
journal = {Proceedings of the National Academy of Sciences},
url = {http://www.pnas.org/content/103/36/13427.short},
author = {Zhang, Xiang H.-F. and Chasin, Lawrence A.},
year = {2006},
keywords = {repeats,splicing},
pages = {13427--13432},
file = {/home/mpetersen/bib/storage/E93FU5N9/0a85e5315e097bef1c000000.pdf}
}
@article{Kim2014,
title = {Divergence of {{Drosophila}} Melanogaster Repeatomes in Response to a Sharp Microclimate Contrast in {{Evolution Canyon}}, {{Israel}}},
volume = {111},
issn = {0027-8424, 1091-6490},
doi = {10.1073/pnas.1410372111},
language = {en},
number = {29},
urldate = {2015-10-08},
journal = {Proceedings of the National Academy of Sciences},
url = {http://www.pnas.org/cgi/doi/10.1073/pnas.1410372111},
author = {Kim, Y. B. and Oh, J. H. and McIver, L. J. and Rashkovetsky, E. and Michalak, K. and Garner, H. R. and Kang, L. and Nevo, E. and Korol, A. B. and Michalak, P.},
month = jul,
year = {2014},
keywords = {genome sequencing,adaptive evolution,incipient speciation,microsatellite},
pages = {10630-10635}
}
@article{Perrat2013,
title = {Transposition-{{Driven Genomic Heterogeneity}} in the {{Drosophila Brain}}},
volume = {340},
issn = {0036-8075, 1095-9203},
doi = {10.1126/science.1231965},
language = {en},
number = {6128},
urldate = {2015-10-08},
journal = {Science},
url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1231965},
author = {Perrat, P. N. and DasGupta, S. and Wang, J. and Theurkauf, W. and Weng, Z. and Rosbash, M. and Waddell, S.},
month = apr,
year = {2013},
pages = {91-95}
}
@article{Li2013,
title = {Activation of Transposable Elements during Aging and Neuronal Decline in {{Drosophila}}},
volume = {16},
issn = {1097-6256, 1546-1726},
doi = {10.1038/nn.3368},
number = {5},
urldate = {2015-10-08},
journal = {Nature Neuroscience},
url = {http://www.nature.com/doifinder/10.1038/nn.3368},
author = {Li, Wanhe and Prazak, Lisa and Chatterjee, Nabanita and Gr\"uninger, Servan and Krug, Lisa and Theodorou, Delphine and Dubnau, Josh},
month = apr,
year = {2013},
pages = {529-531}
}
@article{Denton2014,
title = {Extensive Error in the Number of Genes Inferred from Draft Genome Assemblies},
volume = {10},
issn = {1553-7358},
doi = {10.1371/journal.pcbi.1003998},
abstract = {Current sequencing methods produce large amounts of data, but genome assemblies based on these data are often woefully incomplete. These incomplete and error-filled assemblies result in many annotation errors, especially in the number of genes present in a genome. In this paper we investigate the magnitude of the problem, both in terms of total gene number and the number of copies of genes in specific families. To do this, we compare multiple draft assemblies against higher-quality versions of the same genomes, using several new assemblies of the chicken genome based on both traditional and next-generation sequencing technologies, as well as published draft assemblies of chimpanzee. We find that upwards of 40\% of all gene families are inferred to have the wrong number of genes in draft assemblies, and that these incorrect assemblies both add and subtract genes. Using simulated genome assemblies of Drosophila melanogaster, we find that the major cause of increased gene numbers in draft genomes is the fragmentation of genes onto multiple individual contigs. Finally, we demonstrate the usefulness of RNA-Seq in improving the gene annotation of draft assemblies, largely by connecting genes that have been fragmented in the assembly process.},
language = {eng},
number = {12},
journal = {PLoS computational biology},
author = {Denton, James F. and {Lugo-Martinez}, Jose and Tucker, Abraham E. and Schrider, Daniel R. and Warren, Wesley C. and Hahn, Matthew W.},
month = dec,
year = {2014},
keywords = {Animals,Genome,Genomics,Chromosome Mapping,Sequence Analysis; DNA,Drosophila melanogaster,Chickens,Pan troglodytes,Sequence Analysis; RNA},
pages = {e1003998},
pmid = {25474019},
pmcid = {PMC4256071}
}
@article{Jarvis2014,
title = {Whole-Genome Analyses Resolve Early Branches in the Tree of Life of Modern Birds},
volume = {346},
issn = {0036-8075, 1095-9203},
doi = {10.1126/science.1253451},