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http://depts.washington.edu/biowww/

A department within the University of Washington which focuses on both undergraduate and postgraduate education in biochemistry.

Proper citation: UW Department of Biochemistry (RRID:SCR_000149) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/edgebio

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A contract research organization that provides genomics services such as sequencing, bioinformatics, NGS data analysis and whole exome sequencing. EdgeBio is a CLIA-approved service provider.

Proper citation: EdgeBio (RRID:SCR_000183) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.

Proper citation: MIMOSA (RRID:SCR_000184) Copy   

•   Source: SciCrunch Registry

http://acgt.cs.tau.ac.il/modent/

A computational tool that reconstructs gene regulatory networks from high throughput experimental data.

Proper citation: MODENT - A Tool For Reconstructing Gene Regulatory Networks (RRID:SCR_000220) Copy   

•   Source: SciCrunch Registry

http://www.ccdc.cam.ac.uk/Solutions/GoldSuite/Pages/GOLD.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software for virtual screening and identifying the binding mode of active molecules. It is comprehensively validated, widely used, and allows for high database enrichments. The software utilizes a novel methodology which avoids computationally expensive sequential docking of ligands into multiple protein structures.

Proper citation: GOLD (RRID:SCR_000188) Copy   

•   Source: SciCrunch Registry

https://omictools.com/context-likelihood-of-relatedness-tool

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software that infers regulatory interactions between transcription factors and their targets using a compendium of gene expression profiles.

Proper citation: Context Likelihood of Relatedness (RRID:SCR_000216) Copy   

•   Source: SciCrunch Registry

http://www.csir.co.za/

A leading scientific and technology research, development and implementation organization in Africa that undertakes directed research and development for socio-economic growth and improving the quality of life of South African citizens.

Proper citation: Council for Scientific and Industrial Research; Gauteng; South Africa (RRID:SCR_000214) Copy   

•   Source: SciCrunch Registry

https://github.com/vahuynh/dynGENIE3

An algorithm for the inference of gene regulatory networks from expression data.

Proper citation: GENIE3 (RRID:SCR_000217) Copy   

•   Source: SciCrunch Registry

http://bonneaulab.bio.nyu.edu/networks.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for learning parsimonious regulatory networks from systems biology data sets de novo. Software that utilizes inference algorithm to model genetic regulatory networks.Inferelator 2.0 is scalable framework for reconstruction of dynamic regulatory network models., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Inferelator (RRID:SCR_000218) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/c3net/index.html

Software package that allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.

Proper citation: c3net (RRID:SCR_000212) Copy   

•   Source: SciCrunch Registry

http://www.uniklinikum-saarland.de/einrichtungen/fachrichtungen/humangenetik/software/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software tool for predicting granzyme B and caspase cleavage sites.

Proper citation: GraBCas (RRID:SCR_000205) Copy   

•   Source: SciCrunch Registry

http://ccd.biocuckoo.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software package for the prediction of calpain cleavage sites.

Proper citation: GPS-Calpain Cleavage Detector (RRID:SCR_000202) Copy   

•   Source: SciCrunch Registry

https://www.qcif.edu.au/

Provides digital infrastructure capabilities for research and innovation across Queensland and Australia. Provides services, infrastructure and support for computation and data driven collaborative research and its application in industry. Members are six Queensland universities – The University of Queensland, Queensland University of Technology, Griffith University, James Cook University, CQUniversity, and the University of Southern Queensland. The University of the Sunshine Coast is an associate member. Member employees provide support and development services.

Proper citation: Queensland Cyber Infrastructure Foundation Ltd (RRID:SCR_000208) Copy   

•   Source: SciCrunch Registry

http://www.themmrf.org/

Research foundation that funds research to develop new treatments for multiple myeloma, an incurable blood cancer.

Proper citation: Multiple Myeloma Research Foundation (RRID:SCR_000207) Copy   

•   Source: SciCrunch Registry

http://www.bwfund.org/

The Burroughs Wellcome Fund is an independent private foundation dedicated to advancing the biomedical sciences by supporting research and other scientific and educational activities. Within this broad mission, BWF has two primary goals: * To help scientists early in their careers develop as independent investigators * To advance fields in the basic biomedical sciences that are undervalued or in need of particular encouragement BWF''s financial support is channeled primarily through competitive peer-reviewed award programs. * BWF''s endowment: $586.8 million at the end of FY 2009 * BWF approved $26.4 million in grants during FY 2009 BWF makes grants primarily to degree-granting institutions on behalf of individual researchers, who must be nominated by their institutions. To complement these competitive award programs, BWF also makes grants to nonprofit organizations conducting activities intended to improve the general environment for science. A Board of Directors comprising distinguished scientists and business leaders governs BWF. BWF was founded in 1955 as the corporate foundation of the pharmaceutical firm Burroughs Wellcome Co. In 1993, a generous gift from the Wellcome Trust in the United Kingdom, enabled BWF to become fully independent from the company, which was acquired by Glaxo in 1995. BWF has no affiliation with any corporation.

Proper citation: Burroughs Wellcome Fund (RRID:SCR_005772) Copy   

•   Source: SciCrunch Registry

http://www.ict.csiro.au/staff/stephen.wan/csibs/

A software tool designed to aid researchers in browsing through scientific literature. As one reads an online article and encounters a citation that looks important, CSIBS creates a preview summary of the cited document. The key innovation is the contextual tailoring of the automatically generated summaries using the citation and its surrounding text. As this context changes, so too does the citation-specific summary portion of the preview, which contains contextually-relevant sentences extracted from the cited document. The CSIBS preview presents relevant information required to appraise the citation, containing meta-data about the reference, the abstract and the citation-specific summary. Thus, CSIBS, alleviates information overload by enabling the reader to determine whether or not to invest time in exploring the cited article further. Reference, http://www.sciencedirect.com/science/article/pii/S1570826810000181

Proper citation: CSIBS (RRID:SCR_005889) Copy   

•   Source: SciCrunch Registry

https://edwardslab.bmcb.georgetown.edu/trac/GlycoPeptideSearch/#WelcometoGlycoPeptideSearch

GlycoPeptideSearch (GPS) simplifies data interpretation of N-glycopeptide CID MS/MS datasets by searching for glycopeptide results consistent with MS/MS spectra. Results are tabulated in Excel format. Accelerate and simplify interpretation of N-glycopeptide CID MS/MS spectra using GlycoPeptideSearch (GPS). This tool is designed for tandem mass-spectra acquired from proteolytic digests of purified glycoproteins modified with N-glycans and analyzed by LC-MS/MS and CID. The search yields an Excel spreadsheet of N-glycopeptide matches consistent with the spectra. GPS requires two files as input - an mzXML (or other open spectral format) file of glycopeptide CID tandem mass-spectra and a text file (.txt) of peptide sequences containing the N-linked glycosylation motif NXS/T. Spectral datafiles must be converted from raw vendor formats, such as .RAW or .wiff, to an open peak list format (mzXML preferred). In addition to these two input files, the user must specify one or more glycan databases (provided in the software package). The database(s) selected by the user will be used to match glycan structures in the glycopeptide spectra. The output is an Excel spreadsheet with one or more rows for spectra within the dataset that contain evidence of glycoprotein fragmentation, paired with one or more proposed glycopeptide matches for each spectrum. Glycopeptide matches consist of a peptide-glycan pair, with the peptide drawn from the user-supplied peptide file, and the glycan selected from a glycan database(s). The human subset of the GlycomeDB glycan database is provided, and N-linked glycans are automatically selected from it. GPS interprets glycopeptide CID MS/MS spectra by first requiring MS/MS spectra contain evidence of glycopeptide fragmentation - the oxonium ion peaks (m/z 204 - Hex, m/z 366 - HexNAc), and N-glycopeptide core specific peaks (peptide, peptide + HexNAc, peptide + HexNAc-HexNAc, peptide + HexNAc-HexNAc-Hex). For spectra that meet these initial criteria, for a particular peptide, a mass-based search of one or more glycan databases looks for glycans which capture the remaining mass of the spectral precursor. Additional spectral information may be used to narrow the number of matches, and equivalent glycan topologies may be collapsed to a single peptide-glycan pair. GPS also provides N-glycan compositions with the necessary additional mass, even if no glycan with the composition is present in the glycan database(s). GPS can either be run from the command-line or by using its graphical user interface. We recommend the msconvert (or MSConvertGUI) software from the ProteoWizard project to convert spectral datafiles from vendor formats such as .wiff and .RAW into mzXML.

Proper citation: GlycoPeptideSearch (RRID:SCR_005767) Copy   

•   Source: SciCrunch Registry

http://www.cancer.fi/syoparekisteri/en/

The Finnish Cancer Registry maintains a nation-wide database on all cancer cases in Finland going back to 1953. It is also an internationally active institute for statistical and epidemiological cancer research. The Mass Screening Registry is a department of the Finnish Cancer Registry, and is responsible of planning and evaluating national cancer screening programs in Finland. The site contains information on cancer research and up to date statistics on the prevalence of different types of cancer in Finland, the Nordic countries and on a global level. The web pages include information for participants in cancer screening and for professionals involved in organizing such screening.

Proper citation: Finnish Cancer Registry (RRID:SCR_005881) Copy   

•   Source: SciCrunch Registry

http://snp-magma.sourceforge.net

Software that utilizes a multiobjective evolutionary algorithm for genetic mapping. It is based on a the ECJ evolutionary software package written by Sean Luke and includes the Strength Pareto Evoluationary Algorithm Version 2 changes for multiobjective analysis. The code runs on any platform with Java Version 2. A genetic mapping project, typically implemented during a search for genes responsible for a disease, requires the acquisition of a set of data from each of a large number of individuals. This data set includes the values of multiple genetic markers. These genetic markers occur at discrete positions along the genome, which is a collection of one or more linear chromosomes. Typing the value of a marker in an individual carries a cost; one seeks to minimize the number of markers typed without excessively jeopardizing the probability of detecting an association between a marker and a disease phenotype. MAGMA is a project which employ''s a multiobjective evolutionary algorithm to solve this problem.

Proper citation: MAGMA (RRID:SCR_005757) Copy   

•   Source: SciCrunch Registry

http://icahn.mssm.edu/

Icahn School of Medicine at Mount Sinai, formerly Mount Sinai School of Medicine, is graduate medical school in Manhattan, New York City. Leader in medical and scientific training and education, biomedical research and patient care.

Proper citation: Icahn School of Medicine at Mount Sinai; New York; USA (RRID:SCR_005793) Copy   

•   Source: SciCrunch Registry