bioinf.spbau.ru - SPAdes – St. Petersburg genome assembler – is intended for both standard isolates and single-cell MDA bacteria assemblies. This manual will help you to install and run SPAdes. SPAdes version 3.7.1 was released under GPLv2 on March 8,...
http://busco.ezlab.org/ - High-throughput genomics has revolutionized biological research, however, while the number of sequenced genomes grows by the day, quality assessment of the resulting assembled sequences remains complicated and mostly limited to technical measures...
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...
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...
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
www.ici.upmc.fr - ClueGO is a Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network and it can be used in combination with GOlorize.