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There are many R software and bioconductor packages for NGS data analysis, some of them are as follows Biostrings The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It...

code.google.com - You are requested to please bookmark collection of bioinformatics tools, scripts, codes that can be pieced together in a very easy and flexible manner to perform both simple and complex bioinformatics tasks. The next-generation sequencing included...

wgs-assembler.sourceforge.net - These are release notes for Celera Assembler version 8.3rc2, which was released on May 24, 2015.This distribution package provides a stable, tested, documented version of the software.  The distribution is usable on most Unix-like platforms,...

Today at work, I learned how to install Perl modules using CPAN. It’s a lot easier than I thought.

List of generic simulation software/tools/resource with brief description and homepage ALF A Simulation Framework for Genome Evolution http://www.cbrg.ethz.ch/alfBayesian Serial SimCoal Bayesian Serial SimCoal, (BayeSSC) is a modification of...

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...

rstudio-pubs-static.s3.amazonaws.com - First step: Install & load “VennDiagram” package. # install.packages('VennDiagram') library(VennDiagram) Second step: Load data Add filepath if “catdoge.csv” is not in working-directory. d <-...

hgdownload.cse.ucsc.edu - This directory contains applications for stand-alone use, built specifically for a Linux 64-bit machine. For help on the bigBed and bigWig applications...

www.bioconductor.org - statistical analysis and visulization of functional profiles for genes and gene clustersBioconductor version: Release (3.3)This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.Author:...

http://shinyheatmap.com/ - Background: Transcriptomics, metabolomics, metagenomics, and other various next-generation sequencing (-omics) fields are known for their production of large datasets. Visualizing such big data has posed technical challenges in biology, both in...