BOL

When you're just starting out with biological programming, it's easy to run into complex problems that make you wonder how anyone has ever managed to write a program.

kallisto Transcript abundance quantification from RNA-seq data (uses pseudoalignment for rapid determination of read compatibility with targets) Software (C++) https://pachterlab.github.io/kallisto/ Sailfish Estimation of isoform abundances...

PhD opportunity at Université de Liège - Belgium The Bioinformatics and Systems Biology Unit of Université de Liège (Belgium) is looking for a highly motivated master student with programming skills for a PhD thesis project (4 years, fully...

Genome browsers are useful not only for showing final results but also for improving analysis protocols, testing data quality, and generating result drafts. Its integration in analysis pipelines allows the optimization of parameters, which...

bioinformatics.oxfordjournals.org - An ultra–high-performance protein–protein docking software for heterogeneous supercomputers Summary: The application of protein–protein docking in large-scale interactome analysis is a major challenge in structural bioinformatics...

Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and...

GrapheR: A GUI for base graphics in R

To decide which strategy should be our “preferred” genome assembly approach based on data rather than my gut-feeling about the “best assembly” I decided to do some testing with a known “true” reference E Coli K12 MG1655

pybedtools is a Python wrapper for Aaron Quinlan's BEDtools programs

github.com - wgd is a easy to use command-line tool for KS distribution construction named wgd. The wgd suite provides commonly used KS and colinearity analysis workflows together with tools for modeling and visualization, rendering these...