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...
www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
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...
biobits.org - SAMtools: Primer / Tutorial by Ethan Cerami, Ph.D.keywords: samtools, next-gen, next-generation, sequencing, bowtie, sam, bam, primer, tutorial, how-to, introductionRevisions 1.0: May 30, 2013: First public release on...
wiki.bits.vib.be - NGS data are just a bunch of sequences, you have no idea which region in the genome each sequences comes from, which gene it represents...To know that you have to align the sequences to the reference sequence. The reference sequence is in most cases...
github.com - ComplexHeatmap (Gu, Eils, and Schlesner (2016)) is an R Programming Language (R Core Team (2020)) package that is currently listed in the Bioconductor package repository.
install and load required packages...
carpentries-incubator.github.io - A lesson introducing the Snakemake workflow system for bioinformatics analysis.
Prerequisites
This is an intermediate lesson and assumes learners have already done some bioinformatics:
Familiarity with the BASH command shell, including...
www.broadinstitute.org - The presentations below were filmed during the March 2015 GATK Workshop, part of the BroadE Workshop series. At the time of this workshop, the current version of Broad’s Genome Analysis Toolkit (GATK) was version...
github.com - VcfR is an R package intended to allow easy manipulation and visualization of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices from...