BOL

bioinformatics.ua.pt - Smash is a completely alignment-free method/tool to find and visualise genomic rearrangements. The detection is based on conditional exclusive compression, namely using a FCM (Markov model), of high context order (typically 20). For...

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...

www.rstudio.com - Devtools makes package development a breeze: it works with R’s existing conventions for code structure, adding efficient tools to support the cycle of package development. With devtools, developing a package becomes so easy that it will be...

wiki.fysik.dtu.dk - SLURM workload manager software, a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing. This page is a HOWTO guide for setting up a SLURM installation, currently focused on a CentOS 7...

Sustainable agriculture is at the core of Monsanto. We develop technologies that enable farmers to produce more crops while conserving natural resources. Monsanto scientists are conducting research and development (R&D) to revolutionize plant...

Download the sample question paper for BINC 2016 - paer II

github.com - Hagfish is a tool that is to be used in data analysis of Next Generation Sequencing (NGS) experiments. Hagfish builds on the concept of coverage plots and aims to assist (amongst others) in quality control of de novo genome assembly or...

www.well.ox.ac.uk - Stampy is a package for the mapping of short reads from illumina sequencing machines onto a reference genome. It's recommended for most workflows, including those for genomic resequencing, RNA-Seq and Chip-seq. Stampy excels in the mapping of...

github.com - Bioinformatics tools for dealing with Multiple Alignment Format (MAF) files.

biogps.org - A free extensible and customizable gene annotation portal, a complete resource for learning about gene and protein function. http://biogps.org/#goto=welcome