Software appplication for multifractal analysis on complete genomes (DNA and protein) using the sand-box method
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Updated
Mar 5, 2010 - C++
Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
Software appplication for multifractal analysis on complete genomes (DNA and protein) using the sand-box method
Evaluate the output file from the simulation program for GSM Network
Slides and files for a talk I gave at NUS on 2012-08-30
Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria
A WGS de novo assembler based on the FMD-index for large genomes
Solving challenge from rosalind, a platform for learning bioinformatics and programming through problem solving.
Generate visualizations of whole genomes or small sequences
CloudDOE is a user friendly software package to deploy, operate and extend a MapReduce-based bioinformatics environment, which is collectively denoted as a CloudDOE Cloud.
A Python Implementation of MAVID Sequence Alignment for CPSC 445 (Algorithms for Bioinformatics)
Learning bioinformatics through problem solving at Rosalind
A de novo assembler for viral quasispecies using de Bruijn graphs and Markov chains
Perl module for interfacing with the R package MOSAiCS (http://www.stat.wisc.edu/~keles/Software/mosaics/index.html)
Bioinformatics search engine for protein isoelectric points
Homework 2 for MCS 5603 Intro to Bioinformatics. Written in Python.
firefox addon : IGV (Integrative Genomics Viewer) control through mozilla Firefox
Haskell version of fragment assembly without physical potentials, but only with distance restraints and geometric checks
Performs semi-global alignments on FASTA sequences. Homework 3 for Dr. Miller's Intro to Bioinformatics class.
A collection of programs for Homework 4 in my Fall 2014 Intro to Bioinformatics class.
A small command line Python utility for retrieving FASTA sequences from NCBI databases.