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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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OncoTree Resource Report Resource Website 10+ mentions |
OncoTree (RRID:SCR_026218) | data or information resource, topical portal, disease-related portal, portal | Community-driven cancer classification platform encompassing rare and common cancers that provides clinically relevant and appropriately granular cancer classification for clinical decision support systems and oncology research. Cancer classification system for precision oncology. | cancer classification platform, rare and common cancers, cancer classification, precision oncology, | cancer | NCI P30 CA008748 | PMID:33625877 | Free, Freely available | SCR_026218 | 2026-02-15 09:24:01 | 14 | ||||||||
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PathoMAN Resource Report Resource Website |
PathoMAN (RRID:SCR_026552) | PathoMAN | web application, software resource | Web application to automate germline genomic variant curation from clinical sequencing based on ACMG guidelines. Aggregates multiple tracks of genomic, protein and disease specific information from public sources. | Aggregates multiple tracks, automate germline genomic variant curation, clinical sequencing, genomic, protein, disease specific information, public sources, | NCI R21CA029533; NCI P50CA221745; NCI P30CA008748 |
PMID:30787465 | Free, Freely available, | SCR_026552 | Pathogenicity of Mutation Analyzer | 2026-02-15 09:24:03 | 0 | |||||||
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PEtab Resource Report Resource Website |
PEtab (RRID:SCR_026915) | source code, software resource | Repository contains PEtab specifications and additional documentation. Data format for specifying parameter estimation problems in systems biology. SBML and TSV based data format for parameter estimation problems in systems biology. Human- and computer- readable format for representing parameter estimation problems in systems biology. | SBML, TSV, data format, parameter estimation problems, systems biology, specifying parameter estimation problems, | European Unions Horizon 2020 ; NCI U54 CA225088 |
PMID:33497393 | Free, Available for download, Freely available | https://github.com/PEtab-dev/PEtab https://zenodo.org/records/3732958 |
SCR_026915 | 2026-02-15 09:23:26 | 0 | ||||||||
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signifinder Resource Report Resource Website |
signifinder (RRID:SCR_027141) | software toolkit, software resource | Software R package designed to streamline collection and use of cancer transcriptional signatures across bulk, single-cell, and spatial transcriptomics data. Used for collection and implementation of public transcriptional cancer signatures. | Collection and implementation of public transcriptional cancer signatures, transcriptional cancer signatures, transcriptomics data, | Italian Association for Cancer Research ; NCI U24CA180996; Chan Zuckerberg Initiative |
PMID:39363890 | Free, Available for download, Freely available | https://github.com/CaluraLab/signifinder | SCR_027141 | 2026-02-15 09:24:05 | 0 | ||||||||
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MRDetect Resource Report Resource Website |
MRDetect (RRID:SCR_024766) | software application, data processing software, data analysis software, software resource | Software application to estimate presence of MRD in plasma cfDNA WGS through evaluation of matched tumour-derived mutations (SNVs or CNVs). | estimate presence of MRD in plasma cfDNA WGS, evaluation of matched tumour-derived mutations, | NCI DP2 CA239065 | PMID:32483360 | Restricted | SCR_024766 | 2026-02-15 09:23:51 | 0 | |||||||||
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TooManyCells Resource Report Resource Website 1+ mentions |
TooManyCells (RRID:SCR_025328) | source code, software toolkit, software resource | Software suite of tools, algorithms, and visualizations focusing on relationships between cell clades. This includes new ways of clustering, plotting, choosing differential expression comparisons. Identifies and visualizes relationships of single-cell clades. | Spectral clustering, radial tree, visualization, cell clades, |
is related to: too-many-cells-python is related to: TooManyCellsInteractive |
NCI T32 CA009140; NCI R01 CA215518; NHLBI R01 HL145754; Sloan Foundation ; NCI R01 CA230800 |
PMID:32123397 | Free, Available for download, Freely available | https://gregoryschwartz.github.io/too-many-cells/ | SCR_025328 | 2026-02-15 09:23:50 | 4 | |||||||
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GenVisR Resource Report Resource Website 10+ mentions |
GenVisR (RRID:SCR_027559) | software toolkit, software resource | Software R package for visualizing genomics data. Provides a user-friendly, flexible and comprehensive suite of tools for visualizing complex genomic data in three categories (small variants, copy number alterations and data quality) for multiple species of interest. | visualizing genomics data, genomics, genomics data, small variants, copy number alterations, data quality, multiple species, | NHGRI K99HG007940; NCI K22CA188163 |
PMID:27288499 | Free, Available for download, Freely available | SCR_027559 | 2026-02-15 09:23:34 | 41 | |||||||||
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Chernobyl Tissue Bank Resource Report Resource Website 1+ mentions |
Chernobyl Tissue Bank (RRID:SCR_010662) | CTB | material resource, biomaterial supply resource | The CTB (Chernobyl Tissue Bank) is an international cooperation that collects, stores and disseminates biological samples from tumors and normal tissues from patients for whom the aetiology of their disease is known - exposure to radioiodine in childhood following the accident at the Chernobyl power plant. The main objective of this project is to provide a research resource for both ongoing and future studies of the health consequences of the Chernobyl accident. It seeks to maximize the amount of information obtained from small pieces of tumor by providing multiple aliquots of RNA and DNA extracted from well documented pathological specimens to a number of researchers world-wide and to conserve this valuable material for future generations of scientists. It exists to promote collaborative, rather than competitive, research on a limited biological resource. Tissue is collected to an approved standard operating procedure (SOP) and is snap frozen; the presence or absence of tumor is verified by frozen section. A representative paraffin block is also obtained for each case. Where appropriate, we also collect fresh and paraffin-embedded tissue from loco-regional metastases. Currently we do not issue tissue but provide extracted nucleic acid, paraffin sections and sections from tissue microarrays from this material. The project is coordinated from Imperial College, London and works with Institutes in the Russian Federation (the Medical Radiological Research Centre in Obninsk) and Ukraine (the Institute of Endocrinology and Metabolism in Kiev) to support local scientists and clinicians to manage and run a tissue bank for those patients who have developed thyroid tumors following exposure to radiation from the Chernobyl accident. Belarus was also initially included in the project, but is currently suspended for political reasons. |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Imperial College London; London; United Kingdom |
Tumor, Normal, Exposure to radioiodine in childhood following the accident at the Chernobyl power plant | European Union ; Sasakawa Memorial Health Foundation ; NCI |
nlx_70828 | SCR_010662 | 2026-02-15 09:20:19 | 9 | ||||||||
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PrediXcan Resource Report Resource Website 10+ mentions |
PrediXcan (RRID:SCR_016739) | software application, data processing software, data analysis software, software resource | Software tool to detect known and novel genes associated with disease traits and provide insights into the mechanism of these associations. Used to test the molecular mechanisms through which genetic variation affects phenotype. | detect, gene, disease, associate, trait, mechanism, molecular, variation, phenotype | NCI K12 CA139160; NCI F32CA165823; NIMH T32 MH020065; NIMH R01 MH101820; NIMH R01 MH090937; NIGMS U01 GM61393; NIMH P50 MH094267; NIGMS U01 GM092691; NHLBI U19 HL065962; NIDA P50 DA037844; NIDDK P30 DK20595; NIDDK P60 DK20595 |
PMID:26258848 | Free, Available for download, Freely available | SCR_016739 | 2026-02-15 09:21:55 | 23 | |||||||||
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ConsensusClusterPlus Resource Report Resource Website 100+ mentions |
ConsensusClusterPlus (RRID:SCR_016954) | software application, data processing software, data analysis software, software resource | Software written in R for determining cluster count and membership by stability evidence in unsupervised analysis. Provides quantitative and visual stability evidence for estimating the number of unsupervised classes in a dataset with item tracking, item consensus and cluster consensus plots. | cluster, count, stability, evidence, unsupervised, analysis, , bio.tools |
is listed by: Bioconductor is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
NCI F32CA142039; Thomas G. Labrecque Foundation ; NCI U24 CA126554 |
PMID:20427518 | Free, Available for download, Freely available | biotools:consensusclusterplus | https://bio.tools/consensusclusterplus | SCR_016954 | 2026-02-15 09:21:56 | 160 | ||||||
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Salmon Resource Report Resource Website 100+ mentions |
Salmon (RRID:SCR_017036) | software application, data processing software, data analysis software, software resource | Software tool for quantifying expression of transcripts using RNA-seq data. Provides fast and bias-aware quantification of transcript expression. Transcriptome-wide quantifier to correct for fragment GC-content bias. | quantifying, expression, transcript, RNAseq, data, correct, fragment, GC, content, bias |
is listed by: Debian is listed by: OMICtools has parent organization: Stony Brook University; New York; USA has parent organization: Carnegie Mellon University; Pennsylvania; USA has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA has parent organization: Harvard University; Cambridge; Massachusetts |
Gordon and Betty Moore Foundation Data-Driven Discovery Initiative ; NHGRI R21 HG006913; NHGRI R01 HG007104; Alfred P. Sloan Research ; NCI T32 CA009337; NHGRI R01 HG005220; NSF BIO-1564917; NSF CCF-1256087; NSF CCF-1053918; NSF EF-0849899 |
PMID:28263959 | Free, Available for download, Freely available | OMICS_09075 | https://github.com/COMBINE-lab/salmon https://sources.debian.org/src/salmon/ |
SCR_017036 | 2026-02-15 09:21:14 | 357 | ||||||
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The Cancer Genome Atlas Resource Report Resource Website 5000+ mentions |
The Cancer Genome Atlas (RRID:SCR_003193) | TCGA | material resource, biomaterial supply resource | Project exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future). | genome, genome sequencing, breast, central nervous system, endocrine, gastrointestinal, gynecologic, head, neck, hematologic, skin, soft tissue, thoracic, urologic, clinical, genomic characterization, analysis, tumor genome, demographic, gene expression, copy number alteration, epigenetic, dna sequence, exome, snp, methylation, mrna, mirna, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is used by: BioXpress is used by: cancerRxTissue is listed by: One Mind Biospecimen Bank Listing is related to: Cancer3D is related to: Cancer Research Data Commons is related to: CancerMIRNome has parent organization: National Cancer Institute works with: FireBrowse |
Cancer, Tumor, Normal, Breast cancer, Central Nervous System cancer, Endocrine cancer, Gastrointestinal cancer, Gynecologic cancer, Head cancer, Neck cancer, Hematologic cancer, Skin cancer, Soft tissue cancer, Thoracic cancer, Urologic cancer | NCI 261200800001E-12-0-1 | nlx_156913 | SCR_003193 | Cancer Genome Atlas | 2026-02-15 09:18:28 | 6292 | ||||||
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SCALE - Scandinavian lymphoma etiology Resource Report Resource Website 1+ mentions |
SCALE - Scandinavian lymphoma etiology (RRID:SCR_006041) | KI Biobank - SCALE | material resource, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. The original aim of this study was to increase our understanding of the etiology of malignant lymphomas, especially in view of the increasing trend in incidence. Malignant lymphoma (including non-Hodgkin lymphoma, NHL, Hodgkin lymphoma, HL, and chronic lymphocytic leukemia, CLL) constitute a heterogeneous group of malignancies with regard to histology, molecular characteristics and clinical course. Etiological factors may also vary by lymphoma subtype. The incidence of NHL, the most common lymphoma group, has increased dramatically during the past decades in Sweden and in many other Western countries. The reasons for this increase as well as for the majority of all new cases is not well understood. Well established risk factors for lymphoma overall include hereditary and acquired disorders of strong immune dysfunction such as HIV/AIDS and organ transplantation, but they explain few new cases in the population. Approach: Population-based case-control study in Sweden and Denmark. The study includes in total 3740 patients and 3187 controls in both countries recruited during the period October 1999 to October 2002. Through a rapid case ascertainment system, the cases were identified shortly after diagnosis. The controls were randomly selected from national population registers and frequency-matched to the expected number of cases by sex and age group. Both cases and controls were interviewed by telephone based on a standardized questionnaire to obtain detailed information on potential risk factors for lymphoma such as medical history including infectious diseases, drug use and blood transfusions, socio-economic factors and life-style. Blood samples were also collected and stored as serum, plasma, DNA and live lymphocytes. In addition, written questionnaires about dietary habits or work exposures were sent out in Sweden. Tumor material from the cases was re-examined and uniformly classified according to the REAL classification. Status The data collection ended in 2002 and data analysis has been ongoing since then. We have primarily analyzed a range of environmental factors in relation risk of malignant lymphoma subgroups including sun exposure, body mass index, family history of hematopoietic cancer, allergy, autoimmune disorders and mononucleosis. We have also assessed specific genetic determinants in a subgroups of patients with follicular lymphoma and controls. Study results have so far been presented in 14 publications in peer-reviewed journals. In addition to new analyses on other environmental factors, we now also work to understand genetic susceptibility and gene-environmental interaction and risk of lymphoma. Also, prognostic studies have been initiated in collaboration with other research groups with regard to in CLL, HL and T-cell lymphoma. | malignant lymphoma, non-hodgkin lymphoma, hodgkin lymphoma, chronic lymphocytic leukemia, etiology, questionnaire, interview, risk factor, medical history, infectious disease, drug use, blood transfusion, socio-economic factor, life-style, environmental factor, sun exposure, body mass index, family history, hematopoietic cancer, allergy, autoimmune disorder, mononucleosis, follicular lymphoma, control, gene, lymphoma, t-cell lymphoma, genetic, tumor, environment |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Karolisnka Biobank |
Malignant lymphoma, Normal control, Lymphoma | Cancerforeningen ; Swedish Cancer Society ; Danish Cancer Society ; Plan Denmark ; NCI |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151438 | SCR_006041 | Scandinavian lymphoma etiology, SCALE (Scandinavian lymphoma etiology) study | 2026-02-15 09:19:08 | 1 | |||||
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CHISEL Resource Report Resource Website 1+ mentions |
CHISEL (RRID:SCR_023220) | CHISEL | software application, software resource | Software tool to infer allele and haplotype specific copy numbers in individual cells from low coverage single cell DNA sequencing data. Integrates weak allelic signals across individual cells, powering strength of single cell sequencing technologies to overcome weakness. Includes global clustering of RDRs and BAFs, and rigorous model selection procedure for inferring genome ploidy that improves both inference of allele specific and total copy numbers. | infer allele and haplotype specific copy numbers, individual cells, low coverage single cell DNA sequencing data, weak allelic signals, weak signals integration, | NHGRI R01HG007069; NCI U24CA211000; NSF CCF 1053753; Chan Zuckerberg Initiative DAF grants ; NCI P30CA072720; O’Brien Family Fund for Health Research ; Wilke Family Fund for Innovation |
DOI:10.1038/s41587-020-0661-6 | Free, Available for download, Freely available | SCR_023220 | Copy-number Haplotype Inference in Single-cell by Evolutionary Links | 2026-02-15 09:23:01 | 2 | |||||||
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GEN3VA Resource Report Resource Website 1+ mentions |
GEN3VA (RRID:SCR_015682) | software application, data processing software, data analysis software, software resource | Software tool for aggregation and analysis of gene expression signatures from related studies.Used to aggregate and analyze gene expression signatures extracted from GEO by crowd using GEO2Enrichr. Used to view aggregated report that provides global, interactive views, including enrichment analyses, for collections of signatures from multiple studies sharing biological theme. | GEO2Enrichr, gene expression signatures, enrichment analyses, multiple studies, biological theme, bio.tools |
is listed by: bio.tools is listed by: Debian works with: Gene Expression Omnibus (GEO) |
NHLBI U54 HL127624; NCI U54 CA189201; NIGMS R01 GM098316 |
PMID:27846806 | Free, Freely available | biotools:gen3va | https://github.com/MaayanLab/gen3va https://bio.tools/gen3va |
SCR_015682 | GENE Expression and Enrichment Vector Analyzer | 2026-02-15 09:20:57 | 5 | |||||
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cPath Resource Report Resource Website 100+ mentions |
cPath (RRID:SCR_001749) | cPath | software application, software resource, data management software | Data management software that runs the Pathway Commons web service. It makes it easy to aggregate custom pathway data sets available in standard exchange formats from multiple databases, present pathway data to biologists via a customizable web interface, and export pathway data via a web service to third-party software, such as Cytoscape, for visualization and analysis. cPath is software only, and does not include new pathway information. Main features: * Import pipeline capable of aggregating pathway and interaction data sets from multiple sources, including: MINT, IntAct, HPRD, DIP, BioCyc, KEGG, PUMA2 and Reactome. * Import/Export support for the Proteomics Standards Initiative Molecular Interaction (PSI-MI) and the Biological Pathways Exchange (BioPAX) XML formats. * Data visualization and analysis via Cytoscape. * Simple HTTP URL based XML web service. * Complete software is freely available for local install. Easy to install and administer. * Partly funded by the U.S. National Cancer Institute, via the Cancer Biomedical Informatics Grid (caBIG) and aims to meet silver-level requirements for software interoperability and data exchange. | exchange, molecular, pathway, proteomics, storing, visualization, visualizing, biological pathway, metabolic pathway, protein interaction network, signal transduction pathway, gene regulatory network, biological process, exchange format, FASEB list |
is related to: Pathway Commons is related to: PSI-MI is related to: Cytoscape is related to: Biological Pathways Exchange |
NCI ; Alfred W. Bressler Scholars Endowment Fund |
PMID:17101041 | Free, Freely available | nif-0000-10292 | http://cbio.mskcc.org/cpath/home.do | SCR_001749 | cPath2 | 2026-02-16 09:45:34 | 162 | ||||
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DAVID Resource Report Resource Website 10000+ mentions |
DAVID (RRID:SCR_001881) | DAVID | web service, data access protocol, database, software resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis. | functional domain, annotation, motif, protein, ontology enrichment, gene, high-throughput, functional classification, functional annotation, clustering, genome, pathway, gene-disease association, interaction, functional domain, motif, visualization, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: LabWorm is listed by: SoftCite is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG has parent organization: NCI-Frederick |
NIAID NO1-CO-56000; NCI |
PMID:19131956 PMID:12734009 PMID:35325185 PMID:22543366 PMID:17980028 PMID:17576678 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30408, nif-0000-10451, OMICS_02220, SCR_003033 | http://david.abcc.ncifcrf.gov/ | SCR_001881 | DAVID Bioinformatics Resources, Visualization and Integrated Discovery Bioinformatics Resources, Database for Annotation Visualization and Integrated Discovery, The Database for Annotation, The Database for Annotation Visualization and Integrated Discovery Bioinformatics Resources | 2026-02-16 09:45:36 | 18488 | ||||
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Phenotypes and eXposures Toolkit Resource Report Resource Website 50+ mentions |
Phenotypes and eXposures Toolkit (RRID:SCR_006532) | PhenX Toolkit | narrative resource, data set, database, catalog, service resource, data or information resource, standard specification | Set of measures intended for use in large-scale genomic studies. Facilitate replication and validation across studies. Includes links to standards and resources in effort to facilitate data harmonization to legacy data. Measurement protocols that address wide range of research domains. Information about each protocol to ensure consistent data collection.Collections of protocols that add depth to Toolkit in specific areas.Tools to help investigators implement measurement protocols. | PhenX project, genome, phenotype, genome-wide association study, genetic variation, genomic study, substance abuse, addiction, substance use, environmental exposure, disease susceptibility, outcome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: RTI International has parent organization: Consensus Measures for Phenotype and Exposure has parent organization: Trans-Omics for Precision Medicine (TOPMed) Program has organization facet: PhenX Phenotypic Terms is organization facet of: Consensus Measures for Phenotype and Exposure |
NHGRI U01 HG004597; NHGRI U41HG007050; NIDA ; OBSSR ; NIMH ; NHLBI ; NIMHD ; TRSP ; NHGRI U24 HG012556; ODP ; NINDS ; NCI |
PMID:21749974 | Restricted | SCR_017475, biotools:PhenX_toolkit, nlx_144102 | https://bio.tools/PhenX_Toolkit | SCR_006532 | Phenotypes and eXposures Toolkit | 2026-02-16 09:46:44 | 61 | ||||
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Transdisciplinary Tobacco Use Research Centers Resource Report Resource Website |
Transdisciplinary Tobacco Use Research Centers (RRID:SCR_006858) | TTURC | data or information resource, topical portal, disease-related portal, portal | A transdisciplinary approach to the full spectrum of basic and applied research on tobacco use to reduce the disease burden of tobacco use, including: * Etiology of tobacco use and addiction * Impact of advertising and marketing * Prevention of tobacco use * Treatment of tobacco use and addiction * Identification of biomarkers of tobacco exposure * Identification of genes related to addiction and susceptibility to harm from tobacco Goals * Increase the number of investigators from relevant disciplines who focus on the study of tobacco use as part of transdisciplinary teams. * Generate basic research evidence to improve understanding of the etiology and natural history of tobacco use. * Produce evidence-based tobacco use interventions that can translate to the community and specific understudied or underserved populations. * Increase the number of evidence-based interventions that are novel, including the development, testing and dissemination of innovative behavioral treatments and prevention strategies based upon findings from basic research. * Train transdisciplinary investigators capable of conducting cutting-edge tobacco use research. * Increase the number of peer-reviewed publications in the areas of tobacco use, nicotine addiction, and treatment. | gene, genetic factor, addiction gene, behavioral treatment, biomarker, molecule, nicotine use disorder, prevention, psychosocial factor, smoking, smoking cessation, tobacco exposure, treatment, nicotine, prevention, tobacco, intervention | has parent organization: National Cancer Institute | Nicotine use disorder, Addiction | NCI ; NIDA ; NIAAA |
nif-0000-24133 | SCR_006858 | 2026-02-16 09:46:49 | 0 | |||||||
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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit Resource Report Resource Website 1000+ mentions |
WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (RRID:SCR_006786) | WebGestalt | web application, data access protocol, software resource, web service | Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. | proteomic, gene expression, genome wide association study, statistical analysis, functional genomics, protein protein interaction, pathway, regulatory module, analysis toolkit, web application |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: Pathway Commons is related to: WikiPathways is related to: PheWAS Catalog is related to: webgestaltr has parent organization: Vanderbilt University; Tennessee; USA |
NIAAA U01 AA016662; NIAAA U01 AA013512; NIDA P01 DA015027; NIMH P50 MH078028; NIMH P50 MH096972; NCI U24 CA159988; NIGMS R01 GM088822 |
PMID:24233776 PMID:15980575 PMID:14975175 |
Free, Freely available | OMICS_02222, nif-0000-30622 | http://bioinfo.vanderbilt.edu/webgestalt/ | SCR_006786 | GOTM, Gene Ontology Tree Machine, WebGestalt2, WEB-based GEne SeT AnaLysis Toolkit, WebGestalt | 2026-02-16 09:46:48 | 2760 |
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