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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://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://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

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

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

http://mendel.stanford.edu/sidowlab/downloads/quest/

A Kernel Density Estimator-based package for analysis of massively parallel sequencing data from chromatin immunoprecipitation (ChIP-seq) experiments.

Proper citation: Quantitative Enrichment of Sequence Tags (RRID:SCR_004065) Copy   

•   Source: SciCrunch Registry

http://www.brl.bcm.tmc.edu/pash/pashDownload.rhtml

Performs sequence comparison and read mapping and can be employed as a module within diverse configurable analysis pipelines, including ChIP-Seq and methylome mapping by whole-genome bisulfite sequencing.

Proper citation: Pash 3.0 (RRID:SCR_004078) Copy   

•   Source: SciCrunch Registry

http://epigraph.mpi-inf.mpg.de/WebGRAPH/

A software for genome and epigenome analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: EpiGRAPH (RRID:SCR_004326) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/insertionmapper/

A pipeline tool for the identification of targeted sequences from multidimensional high throughput sequencing data. It consists of four independently working modules: Data Preprocessing, Database Modeling, Dimension Deconvolution and Element Mapping. This pipeline tool is applicable to scenarios requiring analysis of the tremendous output of short reads produced in NGS sequencing experiments of targeted genome sequences.

Proper citation: InsertionMapper (RRID:SCR_004163) Copy   

•   Source: SciCrunch Registry

https://bcbio-nextgen.readthedocs.org/en/latest/

A python toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.

Proper citation: bcbio-nextgen (RRID:SCR_004316) Copy   

•   Source: SciCrunch Registry

http://genome.gsc.riken.jp/osc/english/dataresource/

A program to eliminate artifactual reads from next-generation sequencing data sets.

Proper citation: TagDust (RRID:SCR_004175) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Free genome browser and annotation tool that allows visualization of sequence features, next generation data and the results of analyses within the context of the sequence, and also its six-frame translation. Artemis is free software and is distributed under the terms of the GNU General Public License. Artemis is written in Java, and is available for UNIX, Macintosh and Windows systems. It can read EMBL and GENBANK database entries or sequence in FASTA, indexed FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format.

Proper citation: Artemis: Genome Browser and Annotation Tool (RRID:SCR_004267) Copy   

•   Source: SciCrunch Registry

http://snoopcgh.sourceforge.net/

A java desktop application for visualising and exploring comparative genomic hybridization (CGH) data.

Proper citation: SnoopCGH (RRID:SCR_004420) Copy   

•   Source: SciCrunch Registry

http://www.irisa.fr/symbiose/projects/gassst/

Software that finds global alignments of short DNA sequences against large DNA banks. It is able to perform fast gapped alignments and works well for both short and longer reads. It has been tested for reads up to 500bp.

Proper citation: GASSST (RRID:SCR_004413) Copy   

•   Source: SciCrunch Registry

https://github.com/HIITMetagenomics/dsm-framework

Software package providing distributed string mining for High-Throughput Sequencing data that provides a content-based exploration and retrieval method for whole metagenome sequencing samples.

Proper citation: Distributed String Mining Framework (RRID:SCR_004736) Copy   

•   Source: SciCrunch Registry

https://tobiasrausch.com/delly/

Integrated structural variant prediction software that can detect deletions, tandem duplications, inversions and translocations at single-nucleotide resolution in short-read massively parallel sequencing data. It uses paired-ends and split-reads to sensitively and accurately delineate genomic rearrangements throughout genome.

Proper citation: DELLY (RRID:SCR_004603) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/kdetrees/

R package using a non-parametric method for estimating distributions of phylogenetic trees, with the goal of identifying trees that are significantly different from the rest of the trees in the sample.

Proper citation: Kdetrees (RRID:SCR_004522) Copy   

•   Source: SciCrunch Registry

http://www.niehs.nih.gov/research/resources/software/biostatistics/eagleview/

An information-rich viewer for next-generation genome assembles with data integration capability. EagleView can display a dozen different types of information including base qualities, machine specific trace signals, and genome feature annotations. It provides an easy way for inspecting visually the quality of a genome assembly and validating polymorphism candidate sites (e.g., SNPs) reported by polymorphism discovery tools. It can also facilitate data interpretation and hypothesis generation. EagleView is a multi-platform application developed with C++ and is available for all three major platforms: Windows, Linux, and Mac OS.

Proper citation: EagleView (RRID:SCR_006859) Copy   

•   Source: SciCrunch Registry