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https://code.google.com/p/snape-pooled/

Software that computes the probability distribution for the frequency of the minor allele in a certain population, at a certain position in the genome.

Proper citation: SNAPE-pooled (RRID:SCR_003476) Copy   

•   Source: SciCrunch Registry

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

Software tool for running and managing bioinformatics pipelines. It specializes in enabling users to turn existing pipelines based on shell scripts or command line tools into highly flexible, adaptable and maintainable workflows with a minimum of effort. Bpipe ensures that pipelines execute in a controlled and repeatable fashion and keeps audit trails and logs to ensure that experimental results are reproducible. Requiring only Java as a dependency, it is fully self-contained and cross-platform, making it very easy to adopt and deploy into existing environments.

Proper citation: Bpipe (RRID:SCR_003471) Copy   

•   Source: SciCrunch Registry

http://www.lgm.upmc.fr/parseq/

Statistical software for transcription landscape reconstruction at a basepair resolution from RNA Seq read counts. It is based on a state-space model which describes, in terms of abrupt shifts and more progressive drifts, the transcription level dynamics along the genome. Alongside variations of transcription level, it incorporates a component of short-range variation to pull apart local artifacts causing correlated dispersion. Reconstruction of the transcription level relies on a conditional sequential Monte Carlo approach that is combined with parameter estimation in a Markov chain Monte Carlo algorithm known as particle Gibbs. The method allows to estimate the local transcription level, to call transcribed regions, and to identify the transcript borders.

Proper citation: Parseq (RRID:SCR_003464) Copy   

•   Source: SciCrunch Registry

http://ctrad-csi.nus.edu.sg/gbsa/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Software for analyzing whole-genome bisulfite sequencing data.

Proper citation: GBSA (RRID:SCR_003413) Copy   

•   Source: SciCrunch Registry

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

Software package that performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).

Proper citation: MultiPhen (RRID:SCR_003498) Copy   

•   Source: SciCrunch Registry

http://www.biostat.wisc.edu/~kendzior/EBSEQ/

Software R package for RNA-Seq Differential Expression Analysis.

Proper citation: EBSeq (RRID:SCR_003526) Copy   

•   Source: SciCrunch Registry

http://www.hsph.harvard.edu/skat/metaskat/

A R package for multiple marker meta-analysis.

Proper citation: MetaSKAT (RRID:SCR_003489) Copy   

•   Source: SciCrunch Registry

http://genomesavant.com/p/home/index

Next-generation genome browser software designed for the latest generation of genome data.

Proper citation: Savant (RRID:SCR_003488) Copy   

•   Source: SciCrunch Registry

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

A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.

Proper citation: jmzTab (RRID:SCR_003481) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.11/bioc/html/flowQB.html

A fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.

Proper citation: flowQB (RRID:SCR_002144) Copy   

•   Source: SciCrunch Registry

http://amigo.geneontology.org/

Web tool to search, sort, analyze, visualize and download data of interest. Along with providing details of the ontologies, gene products and annotations, features a BLAST search, Term Enrichment and GO Slimmer tools, the GO Online SQL Environment and a user help guide.Used at the Gene Ontology (GO) website to access the data provided by the GO Consortium. Developed and maintained by the GO Consortium.

Proper citation: AmiGO (RRID:SCR_002143) Copy   

•   Source: SciCrunch Registry

http://cinteny.cchmc.org/

Online database for finding and analyzing syntenic regions across multiple genomes and measuring the extent of genome rearrangement using reversal distance as a measure.

Proper citation: Cinteny (RRID:SCR_002147) Copy   

•   Source: SciCrunch Registry

https://github.com/TGAC/miso-lims

Open source software for a Laboratory Information Management System (LIMS) for NGS sequencing centres.

Proper citation: miso-lims (RRID:SCR_002259) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowFit.html

A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.

Proper citation: flowFit (RRID:SCR_002286) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/spliceR.html

An easy-to-use R package for classification of alternative splicing and prediction of coding potential from RNA-seq data.

Proper citation: spliceR (RRID:SCR_002280) Copy   

•   Source: SciCrunch Registry

http://insulatordb.uthsc.edu/

A comprehensive collection of experimentally determined and computationally predicted CCCTC-binding factor (CTCF) binding sites (CTCFBS) from the literature. The database is designed to facilitate the studies on insulators and their roles in demarcating functional genomic domains. The CTCFBS Prediction Tool allows users to scan sequences for the single best match to CTCF position weight matrices. Currently (March 2014), the database contains almost 15 million experimentally determined CTCF binding sites across several species. CTCF binding sites were collected from published papers containing CTCF binding sites identified using ChIPSeq or similar methods, data from the ENCODE project, and a set of approximately 100 manually curated binding sites identified by low-throughput experiments. Users can browse insulator sequence features, function annotations, genomic contexts including histone methylation profiles, flanking gene expression patterns and orthologous regions in other mammalian genomes. Users can also retrieve data by text search, sequence search and genomic range search.

Proper citation: CTCFBSDB (RRID:SCR_002279) Copy   

•   Source: SciCrunch Registry

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

An efficient fragment recruitment software program for next generation sequences against microbial reference genomes. It produces similar sensitivity of BLASTN, but runs at a 100 times higher speed. The algorithm adopts a seeding heuristic strategy with overlapping k-mer hashing to locate candidate matching blocks on the reference sequences, and then apply an effective filtering within the candidate blocks to filter out blocks that do not meet the minimum criteria for containing an alignment with specified parameters. For each candidate block that passed the filter, the best matching sub-regions between a candidate block and a read are determined, and used subsequently by the banded Smith-Waterman algorithm to carry out the actual alignment efficiently, which will finally verify if this can be a valid recruitment hit.

Proper citation: FR-HIT (RRID:SCR_002181) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowPlots.html

Software for analysis plots and data class for gated flow cytometry data.

Proper citation: flowPlots (RRID:SCR_002177) Copy   

•   Source: SciCrunch Registry

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

Software package for meta-analysis of RNA-seq data. This package implements two p-value combination techniques (inverse normal and Fisher methods). It also provides a vignette explaining how to combine data from multiple RNA-seq experiments.

Proper citation: metaRNASeq (RRID:SCR_002174) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/src/contrib/Archive/demi/

R package for estimating differential expression from multiple indicators that capitalizes on the high number of concurrent measurements. It extends to various experimental designs and target categories (transcripts, genes, genomic regions) as well as small sample sizes.

Proper citation: DEMI (RRID:SCR_002291) Copy   

•   Source: SciCrunch Registry