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github.com - Module 1: Statistics for genomics (2-8 August 2021) A simple intro to statistical distributions hypothesis testing linear...

blogs.perl.org - this is a fourth blog post in the Machine learning in Perl series, focusing on the AI::MXNet, a Perl interface to Apache MXNet, a modern and powerful machine learning library. If you're interested in refreshing your memory or just new to the...

gitlab.com - CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall. Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It...

genome.edu.au - RNA Seq Basic Galaxy Tutorial RNA-Seq tutorial based on Trapnell et al. (2012) Nature Protocols In this tutorial we cover the concepts of RNA-Seq differential gene expression (DGE) analysis using a very small synthetic dataset from a well...

An R tutorial for Microsoft Excel users

R is a functional based language, the inputs to a function, including options, are in brackets. Note that all dat and options are separated by a comma Function(data, options) Even quit is a function q() So is...

elp.ucdavis.edu - Generic Genome Browser Version 2: A Tutorial for Administrators This is an extensive tutorial to take you through the main features and gotchas of configuring GBrowse as a server. This tutorial assumes that you have successfully set up Perl, GD,...

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...

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...