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http://mbgd.genome.ad.jp/CGAT/

A comparative genome analysis tool for detailed comparison of closely related bacterial-sized genomes. It visualizes precomputed pairwise genome alignments on both dotplot and alignment viewers. Users can add information on this alignment, such as existence of tandem repeats or interspersed repetitive sequences and changes in codon usage bias, to facilitate interpretation of the observed genomic changes. Besides visualization functionalities, it also provides a general framework to process genome-scale alignments using various existing alignment programs. CGAT employs a client-server architecture, which consists of AlignmentViewer (client; a Java application) and DataServer (a set of Perl scripts). The DataServer package contains data construction scripts and CGI scripts and the AlignmentViewer program visualizes the alignment data obtained from the server thorough the HTTP protocol.

Proper citation: CGAT (RRID:SCR_005550) Copy   

•   Source: SciCrunch Registry
  

http://evolution.sysu.edu.cn/english/software/mapnext.htm

A software tool for spliced and unspliced alignments and SNP detection of short sequence reads.

Proper citation: MapNext (RRID:SCR_005425) Copy   

•   Source: SciCrunch Registry
  

http://weizhong-lab.ucsd.edu/public/?q=softwares/cd-hit-454

A software program to identify artificial duplicates from raw 454 sequencing reads, including exact duplicates and near identical duplicates.

Proper citation: cd-hit-454 (RRID:SCR_005541) Copy   

•   Source: SciCrunch Registry
  

http://solexaqa.sourceforge.net/

Software package to calculate sequence quality statistics and create visual representations of data quality for Illumina's second-generation sequencing technology.

Proper citation: SolexaQA (RRID:SCR_005421) 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://dna.leeds.ac.uk/methylviewer/

A simple integrated software tool for handling MAP (methyltransferase accessibility protocol) and MAP-IT (MAP individual templates) footprinting projects. It can process sequence data (*.txt, *.ab1 and *.scf) derived from the use of up to four different DNA methyltransferases.

Proper citation: MethylViewer (RRID:SCR_005448) 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://code.google.com/p/bisulfighter/

A software package for detecting methylated cytosines (mCs) and differentially methylated regions (DMRs) from bisulfite sequencing data.

Proper citation: Bisulfighter (RRID:SCR_005440) Copy   

•   Source: SciCrunch Registry
  

http://epigenome.usc.edu/publicationdata/bissnp2011/

A software package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping and accurate DNA methylation calling in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq, RRBS and any other bisulfite treated sequencing) with Illumina directional library protocol. It contains the following key features: * Call and summarize methylation of any cytosine context provided (CpG, CHH, CHG, GCH et.al.); * Work for single end and paired-end data; * Accurtae variant detection. Enable base quality recalibration and indel calling in bisulfite sequencing; * Based on Java map-reduce framework, allow multi-thread computing. Cross-platform; * Allow multiple output format, detailed VCF files, CpG haplotype reads file for mono-allelic methylation analysis, simplified bedGraph, wig and bed format for visualization in UCSC genome broswer and IGV browser. BisSNP uses bayesian inference with locus specific methylation probabilities and bisulfite conversion rate of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Bis-SNP (RRID:SCR_005439) Copy   

•   Source: SciCrunch Registry
  

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://www.webarraydb.org/webarray/index.html

An open source integrated microarray database and analysis suite that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion. It allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters.

Proper citation: WebArrayDB (RRID:SCR_005577) Copy   

•   Source: SciCrunch Registry