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shendurelab.github.io - LACHESIS is method that exploits contact probability map data (e.g. from Hi-C) for chromosome-scale de novo genome assembly. Further information about LACHESIS, including source code, documentation and a user's guide are available...

bioinformaticsdotca.github.io - In this lab we will perform de novo genome assembly of a bacterial genome. You will be guided through the genome assembly starting with data quality control, through to building contigs and analysis of the results. At the end of the lab you will...

training.galaxyproject.org - In this tutorial we assemble and annotate the genome of E. coli strain C-1. This strain is routinely used in experimental evolution studies involving bacteriophages. For instance, now classic works by Holly Wichman and Jim Bull (Bull 1997, Bull...

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...

There any many of the documents have been developed and tested by scientist around the world.

R 3.2.0 (codename “Full of Ingredients”) was released yesterday.

Rosalind is a platform for learning bioinformatics and programming through problem solving. Take a tour to get the hang of how Rosalind works. Bioinformatics Textbook Track Find more about Rosalind puzzle at...

ratt.sourceforge.net - RATT is software to transfer annotation from a reference (annotated) genome to an unannotated query genome. It was first developed to transfer annotations between different genome assembly versions. However, it can also transfer annotations between...

homer.salk.edu - This tutorial covers topics independently of HOMER, and represents knowledge which is important to know before diving head first into more advanced analysis tools such as HOMER. Setting up your computing environment Retrieving and storing...

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...