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decipher.cee.wisc.edu - DECIPHER is a software toolset that can be used to maintain, analyze, and decipher large amounts of DNA sequence data. To install DECIPHER, see the Downloads page. To begin using DECIPHER read the "Getting Started DECIPHERing" tutorial. Refer to the...

www.bioconductor.org - Development of cancer is driven by somatic alterations, including numerical and structural chromosomal aberrations. Currently, several computational methods are available and are widely applied to detect numerical copy number aberrations (CNAs) of...

www.cbcb.umd.edu - Metagenomics sequencing projects collect samples of DNA from uncharacterized environments that may contain hundreds or even thousands of species. One of the main challenges in analyzing a metagenome is phylogenetic classification of raw sequence...

eforge.cs.ucl.ac.uk - The eFORGE tool provides a method to view the tissue specific regulatory component of a set of EWAS DMPs. eFORGE analysis takes a set of DMPs, such as those hits above genome-wide significance threshold in an EWAS study, and analyses whether there...

github.com - Requirements: velvet (velveth velvetg should be in your PATH) R (with Sweave) pdflatex (usually part of TeTeX) ggplot2 (from R prompt type install.packages("ggplot2","proto","xtable")) Perl Optional: BLAT or BLAST (to generate...

alan.cs.gsu.edu - caffMatch is a novel scaffolding tool based on Maximum-Weight Matching able to produce high-quality scaffolds from NGS data (reads and contigs). The tool is written in Python 2.7. It also includes a bash script wrapper that calls aligner in case one...

www.csd.uwo.ca - E-MEM is a C++/OpenMP program designed to efficiently compute MEMs between large genomes. See the README file for instructions on how to use E-MEM. E-MEM source code The source code can be downloaded here. If you use E-MEM, please...

github.com - MeGAMerge MeGAMerge (A tool to merge assembled contigs, long reads from metagenomic sequencing runs) Description MeGAMerge is a perl based wrapper/tool that can accept any number of sequence (FASTA) files containing assembled contigs of any...

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...

github.com - v0.0 by Glenn Hickey (hickey@soe.ucsc.edu) Progressive Cactus is a whole-genome alignment package. Requirements git gcc 4.2 or newer python 2.7 wget 64bit processor and build environment 150GB+ of memory on at least one machine when...