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http://www.athamap.de/

Genome wide map of putative transcription factor binding sites in Arabidopsis thaliana genome.Data in AthaMap is based on published transcription factor (TF) binding specificities available as alignment matrices or experimentally determined single binding sites.Integrated transcriptional and post transcriptional data.Provides web tools for analysis and identification of co-regulated genes. Provides web tools for database assisted identification of combinatorial cis-regulatory elements and the display of highly conserved transcription factor binding sites in Arabidopsis thaliana.

Proper citation: AthaMap (RRID:SCR_006717) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.org/go2msig/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2020. Software tool as automated Gene Ontology based multi species gene set generator for gene set enrichment analysis. Used to generate gene sets required for Gene Set Enrichment Analysis for almost any organism for which GO term association data exists.
Gene set collections can be automatically created for wide variety of species.

Proper citation: GO2MSIG (RRID:SCR_018359) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.oxfordjournals.org/content/early/2012/05/10/bioinformatics.bts271.full.pdf

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 7,2024. Software for somatic single nucleotide variant (SNV) and small indel detection from sequencing data of matched tumor-normal samples. The method employs a novel Bayesian approach which represents continuous allele frequencies for both tumor and normal samples, whilst leveraging the expected genotype structure of the normal. This is achieved by representing the normal sample as a mixture of germline variation with noise, and representing the tumor sample as a mixture of the normal sample with somatic variation. A natural consequence of the model structure is that sensitivity can be maintained at high tumor impurity without requiring purity estimates. The method has superior accuracy and sensitivity on impure samples compared to approaches based on either diploid genotype likelihoods or general allele-frequency tests.

Proper citation: Strelka (RRID:SCR_005109) 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

http://www.bioconductor.org/packages/2.14/bioc/html/h5vc.html

Software package that contains functions to interact with tally data from Next-Generation Sequencing (NGS) experiments that is stored in HDF5 files.

Proper citation: h5vc (RRID:SCR_006039) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/IRanges/

Software tool for computing and annotating genomic ranges.Provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially (formally defined as Vector objects), as well as views on these Vector objects. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent Vector API as much as possible.

Proper citation: IRanges (RRID:SCR_006420) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/scientific-community/science/projects/viral-genomics/vicuna

A de novo assembly program targeting populations with high mutation rates.

Proper citation: VICUNA (RRID:SCR_006302) Copy   

•   Source: SciCrunch Registry

https://github.com/ding-lab/msisensor

A C++ software program for automatically detecting somatic and germline variants at microsatellite regions. It computes length distributions of microsatellites per site in paired tumor and normal sequence data, subsequently using these to statistically compare observed distributions in both samples.

Proper citation: MSIsensor (RRID:SCR_006418) Copy   

•   Source: SciCrunch Registry

http://www.clipz.unibas.ch/downloads/TSSer/index.php

A computational pipeline to analyze differential RNA sequencing (dRNA-seq) data to determine transcription start sites genome-wide.

Proper citation: TSSer (RRID:SCR_006419) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cohcap/

An algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). It provides QC metrics, differential methylation for CpG Sites, differential methylation for CpG Islands, integration with gene expression data, and visualization of methylation values.

Proper citation: COHCAP (RRID:SCR_006499) Copy   

•   Source: SciCrunch Registry

http://cbil.upenn.edu/RUM/

An alignment, junction calling, and feature quantification pipeline specifically designed for Illumina RNA-Seq data.

Proper citation: RUM (RRID:SCR_008818) Copy   

•   Source: SciCrunch Registry

https://github.com/armintoepfer/QuasiRecomb/releases

A jumping hidden Markov model that describes the generation of the viral quasispecies and a method to infer its parameters by analysing next generation sequencing data.

Proper citation: QuasiRecomb (RRID:SCR_008812) Copy   

•   Source: SciCrunch Registry