diff --git a/DESCRIPTION b/DESCRIPTION index 5ddd9cd..87876a5 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: APAlyzer Type: Package Title: A toolkit for APA analysis using RNA-seq data -Version: 1.9.3 +Version: 1.9.4 Description: Perform 3'UTR APA, Intronic APA and gene expression analysis using RNA-seq data. Authors@R: c(person("Ruijia", "Wang", role=c("cre", "aut"), email="rjwang.bioinfo@gmail.com", diff --git a/NEWS b/NEWS index e940ba6..0beecdd 100644 --- a/NEWS +++ b/NEWS @@ -53,3 +53,5 @@ Changes in version 1.9.2 (2022-01-02) Changes in version 1.9.3 (2022-02-27) + Fixed the issues caused by the lastest ensembl GRCm39 GTF. + Fixed typos in vignettes +Changes in version 1.9.4 (2022-02-28) ++ Fixed typos in vignettes \ No newline at end of file diff --git a/README.md b/README.md index 38bb236..260bc77 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ ![Image of logo](https://user-images.githubusercontent.com/51307984/73330398-a9a03880-422e-11ea-9d1b-a1312b47aa1c.png) # About APAlyzer [![](https://img.shields.io/badge/release%20version-1.8.0-green.svg)](https://www.bioconductor.org/packages/APAlyzer) -[![](https://img.shields.io/badge/devel%20version-1.9.3-blue.svg)](https://github.com/RJWANGbioinfo/APAlyzer) +[![](https://img.shields.io/badge/devel%20version-1.9.4-blue.svg)](https://github.com/RJWANGbioinfo/APAlyzer) [![](https://img.shields.io/badge/download-3519/total-blue.svg)](https://bioconductor.org/packages/stats/bioc/APAlyzer) [![](http://www.bioconductor.org/shields/downloads/release/APAlyzer.svg)](https://bioconductor.org/packages/stats/bioc/APAlyzer) [![](https://img.shields.io/badge/doi-10.1093/bioinformatics/btaa266-green.svg)](https://doi.org/10.1093/bioinformatics/btaa266) @@ -281,11 +281,11 @@ The output contains 4 columns: ‘gene symbol’ describes gene information; statistical significance based on the Fisher’s exact test; ‘p_adj’ is FDR adjusted pvalue and ‘APAreg’ is 3’UTR APA regulation pattern in the gene. We define 3 types in ‘APAreg’, ‘UP’ means aUTR abundance in the treatment group - (‘KD’ in this case) is at least 5% lower than that in control - (‘NT’ in this case), and ‘pvalue’<0.05; ‘DN’ means aUTR abundance is 5% higher + (‘KD’ in this case) is at least 5% higher than that in control + (‘NT’ in this case), and ‘pvalue’<0.05; ‘DN’ means aUTR abundance is 5% lower in treatment than that in control and p-value<0.05; ‘NC’ are the remaining genes. With respect to 3’UTR size changes, -‘UP’ means 3’UTR shortening, and ‘DN’ 3’UTR lengthening. +‘UP’ means 3’UTR lengthening, and ‘DN’ 3’UTR shortening. For the replicate design, we use t-test for significance analysis. However, other tools based on negative binomial data distribution, such as diff --git a/vignettes/APAlyzer.Rmd b/vignettes/APAlyzer.Rmd index b6ce684..0f69a8b 100644 --- a/vignettes/APAlyzer.Rmd +++ b/vignettes/APAlyzer.Rmd @@ -311,11 +311,11 @@ The output contains 4 columns: ‘gene symbol’ describes gene information; statistical significance based on the Fisher’s exact test; ‘p_adj’ is FDR adjusted pvalue and ‘APAreg’ is 3’UTR APA regulation pattern in the gene. We define 3 types in ‘APAreg’, ‘UP’ means aUTR abundance in the treatment group - (‘KD’ in this case) is at least 5% lower than that in control - (‘NT’ in this case), and ‘pvalue’<0.05; ‘DN’ means aUTR abundance is 5% higher + (‘KD’ in this case) is at least 5% higher than that in control + (‘NT’ in this case), and ‘pvalue’<0.05; ‘DN’ means aUTR abundance is 5% lower in treatment than that in control and p-value<0.05; ‘NC’ are the remaining genes. With respect to 3’UTR size changes, -‘UP’ means 3’UTR shortening, and ‘DN’ 3’UTR lengthening. +‘UP’ means 3’UTR lengthening, and ‘DN’ 3’UTR shortening. For the replicate design, we use t-test for significance analysis. However, other tools based on negative binomial data distribution, such as