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➜ bin git:(master) ✗ ls -l total 68 drwxrwxr-x 3 urbe urbe 4096 Jun 15 12:15 lib -rwxrwxrwx 1 urbe urbe 65141 Jun 15 17:13 LINKS ➜ bin git:(master) ✗ pwd /home/urbe/Tools/LINKS_1.8.6/bin ➜ bloomfilter git:(master) ✗ swig -Wall -c++...

github.com - A Python library dedicated to NGS analysis (e.g., tools to visualise standard NGS formats). A set of pipelines dedicated to NGS in the form of Snakefiles (Makefile-like with Python syntax based on snakemake framework) with more than 80 re-usable...

github.com - judi comes from the idea of bringing the power and efficiency of doit to execute any kind of task under many combinations of parameter settings. https://github.com/ncbi/JUDI

www.biotnet.org - A quickstart tutorial that allows to become familiar with the Python language. The exercises expect knowledge of basic concepts of programming. A group of 2nd year computer science students with no previous Python knowledge required 60'-90' to...

cbb.sjtu.edu.cn - This bookmark is created to store the useful Perl and BioPerl tutorial links at one place. Feel free to share and add more useful tutorial links here ....   

wikis.utexas.edu - The Integrative Genomics Viewer (IGV) from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted...

For a beginner this can be is the hardest part, it is also the most important to get right. It is possible to create a vector by typing data directly into R using the combine function ‘c’ x same as x creates the vector x...

An API for Embedded Scientific Computing

cpansearch.perl.org - This is a collection of libraries and high-quality end-user scripts for bioinformatic analysis, including working with gene annotation, collecting data scores from a variety of modern file formats, and conversion between file formats. The...

https://gatb.inria.fr/ - The Genome Analysis Toolbox with de-Bruijn graph (GATB) provides a set of highly efficient algorithms to analyse NGS data sets. These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge...