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http://www.bcgsc.ca/platform/bioinfo/software/ssake

Software designed to help leverage the information from short sequences reads by stringently clustering them into contigs that can be used to characterize novel sequencing targets.

Proper citation: SSAKE (RRID:SCR_010753) Copy   

•   Source: SciCrunch Registry

http://www.embl.de/~korbel/CopySeq/

A computational tool that analyzes the depth-of-coverage of high-throughput DNA sequencing reads, and can integrate paired-end and breakpoint junction analysis based CNV-analysis approaches, to infer locus copy-number genotypes.

Proper citation: CopySeq (RRID:SCR_010758) Copy   

•   Source: SciCrunch Registry

https://github.com/ekg/freebayes

A Bayesian genetic variant detector designed to find small polymorphisms, specifically SNPs, indels, MNPs, and complex events smaller than the length of a short-read sequencing alignment.

Proper citation: FreeBayes (RRID:SCR_010761) Copy   

•   Source: SciCrunch Registry

http://www.uhnresearch.ca/labs/tillier/ProDesign/ProDesign.html

Webserver that can be used to find oligonucleotide probe sets for microarray slides. The probes can be for individual sequences or for clusters of genes. This webserver accepts files up to 200 kb in size in order to minimize the running time. For larger files please download the program.

Proper citation: ProDesign (RRID:SCR_010966) Copy   

•   Source: SciCrunch Registry

http://bioinfo-out.curie.fr/projects/micsa/

A software package for the identification of transcription factor binding sites in ChIP-Seq data, developed by Computational Systems Biology of Cancer group at the Bioinformatics Laboratory of Institut Curie (Paris).

Proper citation: MICSA (RRID:SCR_010860) Copy   

•   Source: SciCrunch Registry

http://www.cs.ucr.edu/~polishka/

A command line software tool for accurate placing of the nucleosomes using a Modified Gaussian Mixture Model. It was designed to resolve overlapping nucleosomes and extract extra information (fuzziness, probability, etc.) of nucleosome placement. To achieve this goal the tool clusters the input tags according to Nucleosome Model (see the paper for detailed description) using EM learning process. The tool is written in C++. There are no special requirements except for g++ compiler and *nix environment to compile and use the tool. It was checked to compile using g++ compiler under Ubuntu 11.04 and Mac OS X 10.6

Proper citation: NOrMAL (RRID:SCR_010889) Copy   

•   Source: SciCrunch Registry

https://launchpad.net/asterias

A set of web-based applications for the analysis of genomic and proteomic data. Asterias combines Python with R and C/C++, using MPI for parallelization, and aspires to become a standard for high-performance, distributed, web-based bioinformatics and biostatistics applications.

Proper citation: Asterias (RRID:SCR_010936) Copy   

•   Source: SciCrunch Registry

http://chipster.csc.fi/

A user-friendly analysis software for high-throughput data.

Proper citation: Chipster (RRID:SCR_010939) Copy   

•   Source: SciCrunch Registry

http://plntfdb.bio.uni-potsdam.de

Public database arising from efforts to identify and catalogue all plant genes involved in transcriptional control.Integrative plant transcription factor database that provides web interface to access large sets of transcription factors of several plant species, currently encompassing Arabidopsis thaliana (thale cress), Populus trichocarpa (poplar), Oryza sativa (rice), Chlamydomonas reinhardtii and Ostreococcus tauri. Provides access point to its daughter databases of species-centered representation of transcription factors (OstreoTFDB, ChlamyTFDB, ArabTFDB, PoplarTFDB and RiceTFDB). Information including protein sequences, coding regions, genomic sequences, expressed sequence tags, domain architecture and scientific literature is provided for each family.

Proper citation: PlnTFDB (RRID:SCR_010899) Copy   

•   Source: SciCrunch Registry

http://methmarker.mpi-inf.mpg.de/

Tool that facilitates the design and optimization of gene-specific DNA methylation assays. Beyond its use as an epigenetic primer-design tool, it provides extensive support for epigenetic biomarker optimization. Download MethMarker or start it directly from within your web browser.

Proper citation: MethMarker (RRID:SCR_010908) Copy   

•   Source: SciCrunch Registry

http://sissrs.rajajothi.com/

Anl algorithm for precise identification of binding sites from short reads generated from ChIP-Seq experiments.

Proper citation: SISSRs (RRID:SCR_010866) Copy   

•   Source: SciCrunch Registry

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

Software to identify genomic regions enriched in a variety of ChIP-seq and related next-generation sequencing experiments (DNA-seq), calling both broad and narrow modes of enrichment across a range of signal-to-noise ratios. ZINBA models and accounts for factors that co-vary with background or experimental signal, such as G/C content, and identifies enrichment in genomes with complex local copy number variations. ZINBA provides a single unified framework for analyzing DNA-seq experiments in challenging genomic contexts.

Proper citation: ZINBA (RRID:SCR_010868) Copy   

•   Source: SciCrunch Registry

http://aroma-project.org/

An R package for analyzing large Affymetrix data sets.

Proper citation: Aroma.affymetrix (RRID:SCR_010919) Copy   

•   Source: SciCrunch Registry

http://kmersvm.beerlab.org/

A webserver built on the Galaxy framework that enables the mining of sequence data for transcription factor binding sites. This tool suite was designed to aid in analysis of next-generation sequencing (NGS) data that uses a support vector machine (SVM) with kmer sequence features to identify predictive combinations of short transcription factor binding sites which determine the tissue specificity of the original NGS assay. While you may use datasets already available from Galaxy, you can upload your data using the ''Get Data'' Tool. The tool can upload data from a variety of locations.

Proper citation: kmer-SVM (RRID:SCR_010882) Copy   

•   Source: SciCrunch Registry

http://bioinfo.au.tsinghua.edu.cn/software/NURD/

An algorithm to inference isoform expression., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NURD (RRID:SCR_010988) Copy   

•   Source: SciCrunch Registry

http://neuinfo.org

Framework for identifying, locating, relating, accessing, integrating, and analyzing information from neuroscience research. Users can search for and add neuroscience-related resources at NIF portal and receive and RRID to track and cite resources within scientific manuscripts.

Proper citation: Neuroscience Information Framework (RRID:SCR_002894) Copy   

•   Source: SciCrunch Registry

http://proteininformationresource.org/

Integrated public bioinformatics resource to support genomic, proteomic and systems biology research and scientific studies. Provides databases and protein sequence analysis tools to scientific community, including Protein Sequence Database which grew out from the Atlas of Protein Sequence and Structure. Conducts research in biomedical text mining and ontology, computational systems biology, and bioinformatics cyberinfrastructure. In 2002 PIR, along with its international partners, EBI (European Bioinformatics Institute) and SIB (Swiss Institute of Bioinformatics), were awarded a grant from NIH to create UniProt, a single worldwide database of protein sequence and function, by unifying the PIR-PSD, Swiss-Prot, and TrEMBL databases. Currently, PIR major activities include: i) UniProt (Universal Protein Resource) development, ii) iProClass protein data integration and ID mapping, iii) PRO protein ontology, and iv) iProLINK protein literature mining and ontology development. The FTP site provides free download for iProClass, PIRSF, and PRO.

Proper citation: Protein Information Resource (RRID:SCR_002837) Copy   

•   Source: SciCrunch Registry

http://www.gramene.org

Curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species to facilitate the study of cross-species comparisons using information generated from projects supported by public funds. It currently hosts annotated whole genomes in over two dozen plant species and partial assemblies for almost a dozen wild rice species in the Ensembl browser, genetic and physical maps with genes, ESTs and QTLs locations, genetic diversity data sets, structure-function analysis of proteins, plant pathways databases (BioCyc and Plant Reactome platforms), and descriptions of phenotypic traits and mutations. The web-based displays for phenotypes include the Genes and Quantitative Trait Loci (QTL) modules. Sequence based relationships are displayed in the Genomes module using the genome browser adapted from Ensembl, in the Maps module using the comparative map viewer (CMap) from GMOD, and in the Proteins module displays. BLAST is used to search for similar sequences. Literature supporting all the above data is organized in the Literature database. In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data. Additionally you can access Gramene through an FTP site.

Proper citation: Gramene (RRID:SCR_002829) Copy   

•   Source: SciCrunch Registry

https://omictools.com/cross-platform-transcriptome-analysis-tool

Software package for analyzing transcriptome sequencing data from different sequencing platforms.

Proper citation: CPTRA (RRID:SCR_002944) Copy   

•   Source: SciCrunch Registry

https://genenames.org

Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs.

Proper citation: HGNC (RRID:SCR_002827) Copy   

•   Source: SciCrunch Registry