Part of the reason R has become so popular is the vast array of packages available at the cran and bioconductor repositories. In the last few years, the number of packages has grown exponentially!
This is a short post giving steps on how to...
http://docs.bpipe.org/ - Bpipe provides a platform for running big bioinformatics jobs that consist of a series of processing stages - known as 'pipelines'.
January 20th, 2016 - New! Bpipe 0.9.9 released!
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wgs-assembler.sourceforge.net - These are release notes for Celera Assembler version 8.3rc2, which was released on May 24, 2015.This distribution package provides a stable, tested, documented version of the software. The distribution is usable on most Unix-like platforms,...
Frederick National Laboratory seeking an enthusiastic, creative, and seasoned bioinformatics professional to join our leadership team and direct the exceptional Bioinformatics Group at the Cancer Genomics Research Laboratory (CGR). CGR has a...
Are you interested in working with pipeline development in bioinformatics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers...
wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class...
There are many R software and bioconductor packages for NGS data analysis, some of them are as follows
Biostrings
The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It...
biocontainers.pro - BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular...
github.com - CSBB is a command line based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R and python in background for specific modules....
