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http://cushaw2.sourceforge.net/homepage.htm#latest

Software package for next-generation sequencing read alignment that is fast and parallel gapped read alignment to large genomes, such as the human genome.

Proper citation: CUSHAW (RRID:SCR_005479) Copy   

•   Source: SciCrunch Registry

http://eqtl.rc.fas.harvard.edu/idcheck/

Software that allows assessment of concordance between genotype (from SNP arrays or DNA sequencing) and gene expression (RNA-seq) samples. IDCheck compares the identity of RNA-seq reads and SNP genotypes using a likelihood based method. Based on maximum likelihood estimates of relevant parameters, we can detect sample contamination and identify correct sample pairs when swapping occurs.

Proper citation: IdCheck (RRID:SCR_005510) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/distmap/

A user-friendly software pipeline designed to map short reads in a MapReduce framework on a local Hadoop cluster. It is designed to be easily implemented by researchers who do not have expert knowledge of bioinformatics. As it does not have any dependencies, it provides full flexibility and control to the user. The user can use any version of a compatible mapper and any reference genome assembly. There is no need to maintain the mapper, reference or DistMap source code on each of the slaves (nodes) in the Hadoop cluster, making maintenance extremely easy.

Proper citation: DistMap (RRID:SCR_005473) Copy   

•   Source: SciCrunch Registry

http://www.well.ox.ac.uk/project-stampy

A software package for the mapping of short reads from illumina sequencing machines onto a reference genome. It''s recommended for most workflows, including those for genomic resequencing, RNA-Seq and Chip-seq. Stampy excels in the mapping of reads containing that contain sequence variation relative to the reference, in particular for those containing insertions or deletions. It can map reads from a highly divergent species to a reference genome for instance. Stampy achieves high sensitivity and speed by using a fast hashing algorithm and a detailed statistical model. Stampy has the following features: * Maps single, paired-end and mate pair Illumina reads to a reference genome * Fast: about 20 Gbase per hour in hybrid mode (using BWA) * Low memory footprint: 2.7 Gb shared memory for a 3Gbase genome * High sensitivity for indels and divergent reads, up to 10-15% * Low mapping bias for reads with SNPs * Well calibrated mapping quality scores * Input: Fastq and Fasta; gzipped or plain * Output: SAM, Maq''s map file * Optionally calculates per-base alignment posteriors * Optionally processes part of the input * Handles reads of up to 4500 bases

Proper citation: Stampy (RRID:SCR_005504) Copy   

•   Source: SciCrunch Registry

http://snap.cs.berkeley.edu/

A sequence aligner software program that is 10-100x faster and simultaneously more accurate than existing tools like BWA, Bowtie2 and SOAP2. It runs on commodity x86 processors, and supports a rich error model that lets it cheaply match reads with more differences from the reference than other tools. This gives SNAP up to 2x lower error rates than existing tools and lets it match larger mutations that they may miss. SNAP also natively reads BAM, FASTQ, or gzipped FASTQ, and natively writes SAM or BAM, with built-in sorting, duplicate marking, and BAM indexing.

Proper citation: Scalable Nucleotide Alignment Program (RRID:SCR_005501) Copy   

•   Source: SciCrunch Registry

https://github.com/richardmleggett/nextclip/

A software tool for analysing reads from Long Mate Pair (LMP) libraries, generating a comprehensive quality report and extracting good quality trimmed and deduplicated reads.

Proper citation: NextClip (RRID:SCR_005465) Copy   

•   Source: SciCrunch Registry

http://www.nipgr.res.in/ngsqctoolkit.html

A software toolkit for the quality control (QC) of next generation sequencing (NGS) data. The toolkit comprises of user-friendly stand alone tools for quality control of the sequence data generated using Illumina and Roche 454 platforms with detailed results in the form of tables and graphs, and filtering of high-quality sequence data. It also includes few other tools, which are helpful in NGS data quality control and analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NGS QC Toolkit (RRID:SCR_005461) Copy   

•   Source: SciCrunch Registry

http://www.phrap.org/consed/consed.html

A graphical tool for sequence finishing (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence)

Proper citation: Consed (RRID:SCR_005650) Copy   

•   Source: SciCrunch Registry

http://ngsview.sourceforge.net/

A generally applicable, flexible and extensible next-generation sequence alignment editor. The software allows for visualization and manipulation of millions of sequences simultaneously on a desktop computer, through a graphical interface.

Proper citation: NGSView (RRID:SCR_005637) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/bsmap/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 18,2023. Short reads mapping software for bisulfite sequencing reads.

Proper citation: BSMAP (RRID:SCR_005671) Copy   

•   Source: SciCrunch Registry

http://biostat.mc.vanderbilt.edu/wiki/Main/ASAP

Software developed to provide a framework for building and executing a pipeline to preprocess next generation sequence data and variant calls.

Proper citation: Advanced Sequence Automated Pipeline (RRID:SCR_005578) Copy   

•   Source: SciCrunch Registry

http://samtools.sourceforge.net/tview.shtml

Text alignment viewer software based on the GNU ncurses library that works with short indels and shows MAQ consensus. It uses different colors to display mapping quality or base quality, subjected to users' choice.

Proper citation: SAMtools Text Alignment Viewer (RRID:SCR_005611) Copy   

•   Source: SciCrunch Registry

http://rafalab.jhsph.edu/bsmooth/

A pipeline for analyzing whole genome bisulfite sequencing (WGBS) data.

Proper citation: BSmooth (RRID:SCR_005693) Copy   

•   Source: SciCrunch Registry

http://www.ridom.de/traceedit/

A cross-platform graphical DNA trace viewer and editor that displays the chromatogram files from Applied Biosystems automated sequencers and files in the Staden SCF format. Incorrect base calls can be edited and saved. TraceEdit is freely available and designed to operate on Windows and UNIX platforms.

Proper citation: Ridom TraceEdit (RRID:SCR_005568) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.babraham.ac.uk/projects/hicup/

A tool for mapping and performing quality control on Hi-C data.

Proper citation: HiCUP (RRID:SCR_005569) Copy   

•   Source: SciCrunch Registry

https://medicine.yale.edu/lab/rimm/research/software/

Software tool for biomarker assessment and outcome based cut point optimization.

Proper citation: X-Tile (RRID:SCR_005602) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cancergrid-tma/

A web-based application for the management and storage of tissue microarray (TMA) images and the associated metadata. The application enables the user to navigate a grid of TMA core images within a slide, zoom and pan around an image, and enter a score constrained to a specific scoring system. The submitted scores are scored in the eXist open source database, in an XML format, which is compatible with existing TMA standards, and thus allow the data to be archived and re-used in future analysis.

Proper citation: cancergrid-tma (RRID:SCR_005595) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/resources/software/lookseq/

A web-based application for alignment visualization, browsing and analysis of genome sequence data.

Proper citation: LookSeq (RRID:SCR_005625) Copy   

•   Source: SciCrunch Registry

http://zhanglab.c2b2.columbia.edu/index.php/OLego

A program specifically designed for de novo spliced mapping of mRNA-seq reads. It adopts a multiple-seed-and-extend scheme, and does not rely on a separate external mapper.

Proper citation: OLego (RRID:SCR_005811) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/pepr-chip-seq/

A ChIP-Seq peak calling or differential binding analysis tool that is primarily designed for data with biological replicates. It uses a negative binomial distribution to model the read counts among the samples in the same group, and look for consistent differences between ChIP and control group or two ChIP groups run under different conditions.

Proper citation: PePr (RRID:SCR_005759) Copy   

•   Source: SciCrunch Registry