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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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ichorCNA Resource Report Resource Website 10+ mentions |
ichorCNA (RRID:SCR_024768) | simulation software, software resource, software application | Software tool that quantifies tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations. Used to simultaneously segment genome, predict large scale copy number alterations, and estimate tumor fraction of ultra low pass whole genome sequencing sample. | quantify tumor content, simultaneously segment genome, predict large scale copy number alterations, estimate tumor fraction, ultra low pass whole genome sequencing sample, | has parent organization: Broad Institute | Gerstner Family Foundation ; Canadian Institutes for Health Research Postdoctoral Fellowship ; NCI P30 CA14051 |
PMID:29109393 | Free, Available for download, Freely available | SCR_024768 | 2026-08-02 09:09:17 | 21 | ||||||||
|
pVACtools Resource Report Resource Website 10+ mentions |
pVACtools (RRID:SCR_025435) | software toolkit, software resource | Software toolkit to identify and visualize cancer neoantigens. Cancer immunotherapy tools suite consisting of following tools: pVACseq as cancer immunotherapy pipeline for identifying and prioritizing neoantigens from VCF file; pVACbind as cancer immunotherapy pipeline for identifying and prioritizing neoantigens from FASTA file; pVACfuse as tool for detecting neoantigens resulting from gene fusions; pVACvector as tool designed to aid specifically in construction of DNA-based cancer vaccines; pVACview as application based on R Shiny that assists users in reviewing, exploring and prioritizing neoantigens from results of pVACtools processes for personalized cancer vaccine design. | Cancer immunotherapy tools, identify and visualize cancer neoantigens, | NCI U01CA209936; NCI U01CA231844; NCI U24CA237719; NHGRI R00HG007940; V Foundation for Cancer Research |
PMID:31907209 | Free, Freely available | SCR_025435 | 2026-08-02 09:09:14 | 27 | |||||||||
|
ArCH Resource Report Resource Website |
ArCH (RRID:SCR_025975) | ArCH | software toolkit, software resource | Software somatic variant calling pipeline designed to detect low variant allele fraction clonal hematopoiesjsonsis variants. | sequencing studies analysis, somatic variant calling, detect low variant allele fraction, clonal hematopoiesjsonsis variants, | Edward P. Evans Foundation ; American Society of Hematology ; NCI K08 CA241318; NCI P30 CA008748 |
PMID:38485690 | Free, Available for download, Freely available, | SCR_025975 | , ArCH: Artifact Filtering Clonal Hematopoiesis Variant Calling Pipeline, Artifact Filtering Clonal Hematopoiesis Variant Calling Pipeline | 2026-08-02 09:09:25 | 0 | |||||||
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MethylSig Resource Report Resource Website 1+ mentions |
MethylSig (RRID:SCR_025849) | software toolkit, software resource | Software R package as whole genome DNA methylation analysis pipeline. Used for testing differentially methylated cytosines or regions in whole-genome bisulfite sequencing or reduced representation bisulfite sequencing experiments. Several options exist for either site-specific or sliding window tests, and variance estimation. | whole genome DNA methylation analysis, whole genome DNA, DNA methylation, testing differentially methylated cytosines, whole-genome bisulfite sequencing, reduced representation bisulfite sequencing, | NCI R01CA158286; NIEHS P30 ES017885 |
PMID:24836530 | Free, Available for download, Freely available | SCR_025849 | 2026-08-02 09:09:06 | 3 | |||||||||
|
apeglm Resource Report Resource Website |
apeglm (RRID:SCR_026951) | software toolkit, software resource | Software package provides Bayesian shrinkage estimators for effect sizes for variety of GLM models, using approximation of posterior for individual coefficients. | Bayesian shrinkage estimators, | NHGRI R01 HG009125; NCI P01 CA142538; NIEHS P30 ES010126; NIGMS R01 GM070335 |
PMID:30395178 | Free, Available for download, Freely available, | SCR_026951 | , Approximate Posterior Estimation for generalized linear model, Approximate posterior estimation for GLM | 2026-08-02 09:09:31 | 0 | ||||||||
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SeSAMe Resource Report Resource Website 10+ mentions |
SeSAMe (RRID:SCR_027388) | SeSAMe | software toolkit, software resource | Software R package for reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions. | reducing artifactual detection, DNA methylation, Infinium BeadChips, genomic deletions, | NCI U24 CA143882; NCI R01 CA170550; NCI U24 CA210969; Ovarian Cancer Research Fund Grant ; Michelle Lunn Hope Foundation ; Van Andel Research Institute |
PMID:30085201 | Free, Available for download, Freely available, | SCR_027388 | SEnsible Step-wise Analysis of DNA MEthylation | 2026-08-02 09:09:41 | 18 | |||||||
|
tximeta Resource Report Resource Website |
tximeta (RRID:SCR_028005) | software toolkit, software resource | Software R package for reference sequence checksums for provenance identification in RNA-seq. Performs numerous annotation and metadata gathering tasks on behalf of users during the import of transcript counts and abundance from quantification tools such as salmon. Data are imported as SummarizedExperiment objects with associated GenomicRanges metadata. Correct metadata is added automatically via reference sequence digests, facilitating genomic analyses and assisting in computational reproducibility. | reference sequence checksums, provenance identification in RNA-seq, numerous annotation, metadata gathering, | NHGRI R01 HG009937; NIMH R01 MH118349; NCI P01 CA142538; NIEHS P30 ES010126; NHGRI U41 HG004059 |
PMID:32097405 | Free, Available for download, Freely available | SCR_028005 | Tximeta | 2026-08-02 09:09:44 | 0 | ||||||||
|
GWASdb Resource Report Resource Website 10+ mentions |
GWASdb (RRID:SCR_006015) | GWASdb | web service, database, data access protocol, data or information resource, software resource | Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3) | genetic variant, genome-wide association study, functional annotation, disease classification, snp, gene, chromosome region, annotation, pathway, protein-protein interaction, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: GWASrap is related to: Human Phenotype Ontology is related to: IKMB GWAS Association Testing Pipeline is related to: GWAS Quality Control Pipeline is related to: Human Disease Ontology |
University of Hong Kong Small Project Fund 201007176262; Research Grants Council of Hong Kong 781511M; Research Grants Council of Hong Kong 778609M; Research Grants Council of Hong Kong N_HKU752/10; Food and Health Bureau of Hong Kong 10091262; NCI |
PMID:22139925 | biotools:gwasdb, nlx_151404 | https://bio.tools/gwasdb | SCR_006015 | 2026-08-03 09:32:59 | 43 | ||||||
|
Proteome Commons Resource Report Resource Website 10+ mentions |
Proteome Commons (RRID:SCR_006234) | Proteome Commons | data repository, portal, community building portal, data or information resource, database, storage service resource, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication. | proteomics, protein, peptide, data sharing, data, tool, news, annotation, proteome, genome |
is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Proteome Commons Tranche repository |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:20356086 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151800 | SCR_006234 | ProteomeCommons.org, ProteomeCommons | 2026-08-03 09:33:01 | 12 | |||||
|
Ligand Expo Resource Report Resource Website |
Ligand Expo (RRID:SCR_006636) | resource, data or information resource, database | An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components. | element, fingerprint, formula, amino acid, aromatic ring, atom, bound, carbon, chemical, component, depot, ligand, molecular, molecule, nitrogen, nucleic acid, nucleotide, pharmaceutical, protein, small molecule, structure, macromolecule, model |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Worldwide Protein Data Bank (wwPDB) has parent organization: Rutgers University; New Jersey; USA has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS ; NIDDK |
PMID:15059838 | nif-0000-21237, OMICS_02751 | http://ligand-depot.rutgers.edu/ | SCR_006636 | Ligand Depot | 2026-08-03 09:33:06 | 0 | ||||||
|
Pathway Interaction Database Resource Report Resource Website 50+ mentions |
Pathway Interaction Database (RRID:SCR_006866) | PID, NCI Nature PID | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 27, 2016. Curated database of information about known biomolecular interactions and key cellular processes assembled into signaling pathways. All interactions are assembled into pathways, and can be accessed by performing searches for biomolecules, or processes, or by viewing predefined pathways. This was a collaborative project between the NCI and Nature Publishing Group (NPG) from 2006 until September 22nd, 2012, and is no longer being updated. PID is aimed at the cancer research community and others interested in cellular pathways, such as neuroscientists, developmental biologists, and immunologists. The database focuses on the biomolecular interactions that are known or believed to take place in human cells. It can be browsed as an online encyclopedia, used to run computational analyses, or employed in ways that combine these two approaches. In addition to PID''''s predefined pathways, search results are displayed as dynamically constructed interaction networks. These features of PID render it a useful tool for both biologists and bioinformaticians. PID offers a range of search features to facilitate pathway exploration. Users can browse the predefined set of pathways or create interaction network maps centered on a single molecule or cellular process of interest. In addition, the batch query tool allows users to upload long list(s) of molecules, such as those derived from microarray experiments, and either overlay these molecules onto predefined pathways or visualize the complete molecular connectivity map. Users can also download molecule lists, citation lists and complete database content in extensible markup language (XML) and Biological Pathways Exchange (BioPAX) Level 2 format. The database is supplemented by a concise editorial section that includes specially written synopses of recent important research articles in areas related to cancer research, and specially commissioned Bioinformatics Primers that provide practical advice on how to make the most of other relevant online resources. The database and editorial content are updated monthly, and users can opt to receive a monthly email alert to stay informed about new content. Note: as of September 23, 2012 the PID is no longer being actively curated. NCI will maintain the PID website and data for twelve months beyond September 2012 to allow interested parties to obtain the previously curated data before the site is retired in September 2013. | cellular process, interaction, neuroscience, pathway, molecule, cancer, molecular interaction, signaling pathway, visualization, connectivity, interaction network |
is related to: BioCarta Pathways is related to: Pathway Commons is related to: ConsensusPathDB is related to: Integrated Molecular Interaction Database is related to: NCBI BioSystems Database is related to: KOBAS is related to: Reactome is related to: hiPathDB - human integrated Pathway DB with facile visualization has parent organization: National Cancer Institute |
NCI | PMID:18832364 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03286 | SCR_006866 | Pathway Interaction Database | 2026-08-03 09:33:16 | 95 | |||||
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PeptideAtlas Resource Report Resource Website 100+ mentions |
PeptideAtlas (RRID:SCR_006783) | PeptideAtlas | data repository, data or information resource, database, storage service resource, service resource | Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database. | proteomics, peptide, mass spectrometry, annotation, eukaryotic, genome, peptide sequence, high-throughput mass spectrometry, ensembl, peptideprophet, protein sequence, blood plasma, protein, eukaryotic cell, dna, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: ProteomeXchange is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: ProteomeXchange is related to: NIH Data Sharing Repositories is related to: Integrated Manually Extracted Annotation has parent organization: Institute for Systems Biology; Washington; USA |
NCI ; NHGRI ; NIGMS |
PMID:20013378 PMID:23215161 PMID:16381952 PMID:15642101 |
Public, The community can contribute to this resource, Acknowledgement requested | nif-0000-03266, r3d100010889, biotools:peptideatlas | https://bio.tools/peptideatlas, https://doi.org/10.17616/R3BK61 | SCR_006783 | Peptide Atlas, PeptideAtlas | 2026-08-03 09:33:14 | 479 | ||||
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SEER Datasets and Software Resource Report Resource Website 10+ mentions |
SEER Datasets and Software (RRID:SCR_003293) | portal, disease-related portal, topical portal, data or information resource, software resource | Portal provides SEER research data and software SEER*Stat and SEER*Prep. SEER incidence and population data associated by age, sex, race, year of diagnosis, and geographic areas can be used to examine stage at diagnosis by race/ethnicity, calculate survival by stage at diagnosis, age at diagnosis, and tumor grade or size, determine trends and incidence rates for various cancer sites over time. SEER releases new research data every Spring based on the previous November’s submission of data. | NCI, cancer, statistics, epidemiology, analysis |
lists: SEER*Stat lists: NCI SEER Cancer Stage Variable Documentation is related to: Surveillance Epidemiology and End Results has parent organization: National Cancer Institute |
cancer | NCI | Free, Freely available | nif-0000-31490 | SCR_003293 | The Surveillance Epidemiology and End Results (SEER) Program, SEER Datasets Software, SEER Datasets & Software, The Surveillance Epidemiology and End Results (SEER) Program of the National Cancer Institute | 2026-08-03 09:32:14 | 28 | ||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-08-03 09:32:47 | 69 | |||||
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Pathbase Resource Report Resource Website 10+ mentions |
Pathbase (RRID:SCR_006141) | Pathbase | image collection, data repository, ontology, web service, data access protocol, service resource, database, image repository, storage service resource, controlled vocabulary, data or information resource, software resource | Database of histopathology photomicrographs and macroscopic images derived from mutant or genetically manipulated mice. The database currently holds more than 1000 images of lesions from mutant mice and their inbred backgrounds and further images are being added continuously. Images can be retrieved by searching for specific lesions or class of lesion, by genetic locus, or by a wide set of parameters shown on the Advanced Search Interface. Its two key aims are: * To provide a searchable database of histopathology images derived from experimental manipulation of the mouse genome or experiments conducted on genetically manipulated mice. * A reference / didactic resource covering all aspects of mouse pathology Lesions are described according to the Pathbase pathology ontology developed by the Pathbase European Consortium, and are available at the site or on the Gene Ontology Consortium site - OBO. As this is a community resource, they encourage everyone to upload their own images, contribute comments to images and send them their feedback. Please feel free to use any of the SOAP/WSDL web services. (under development) | histopathology, photomicrograph, macroscopic, mutant, genetically manipulated, pathology, transgenic, rodent, mpath ontology, mouse pathology ontology, skinbase, genotype, skin, gene, tissue, hair, mutant mouse strain, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: University of Cambridge; Cambridge; United Kingdom is parent organization of: Mouse Pathology Ontology |
Lesion, Mutant mouse strain, Inbred mouse strain | North American Hair Research Society ; Ellison Medical Foundation ; European Union QLRI-1999-00320; European Union LSHG-CT-2006-037188; NCI CA089713; NCRR RR17436; NIH AR49288 |
PMID:20587689 PMID:15623888 PMID:14681470 |
Except where otherwise noted, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 Unported, Images on the database remain the property of the persons generously allowing their images to be used and are acknowledged within each record. Images should not be modified, Reproduced or disseminated without the express permission of the submitter. | biotools:pathbase, nlx_151637 | https://bio.tools/pathbase | SCR_006141 | Pathbase - European mutant mouse pathology database | 2026-08-03 09:33:00 | 11 | |||
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Human Reference Protein Interactome Project Resource Report Resource Website 10+ mentions |
Human Reference Protein Interactome Project (RRID:SCR_015670) | HuRI | portal, database, web application, data or information resource, software resource, project portal | Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies. | protein interactome, protein-protein interaction, ppi, pairwise combination, proteome, human reference | NHGRI R01/U01HG001715; NHGRI P50HG004233; NHLBI U01HL098166; NHLBI U01HL108630; NCI U54CA112962; NCI R33CA132073; NIH RC4HG006066; NICHD ARRA R01HD065288; NICHD ARRA R21MH104766; NICHD ARRA R01MH105524; NIMH R01MH091350; NSF CCF-1219007; NSERC RGPIN-2014-03892 |
PMID:25416956 | Freely Available, Free, Available for download | SCR_015670 | HuRI: The Human Reference Protein Interactome Mapping Project | 2026-08-03 09:36:22 | 20 | |||||||
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tximport Resource Report Resource Website 50+ mentions |
tximport (RRID:SCR_016752) | software resource, data processing software, software application, data analysis software | Software R package for importing pseudoaligned reads into R for use with downstream differential expression analysis. Used for import and summarize transcript level estimates for transcript and gene level analysis. | pseudoaligned, reads, R, differential, expression, analysis, gene, transcript, bio.tools |
is listed by: Bioconductor is listed by: Debian is listed by: bio.tools works with: edgeR works with: DESeq2 |
SNSF 143883; European Commission ; NCI T32 CA009337 |
DOI:10.12688/f1000research.7563.1 | Free, Available for download, Freely available | biotools:tximport | https://bioconductor.org/packages/tximport/, https://bioconductor.org/packages/devel/bioc/vignettes/tximport/inst/doc/tximport.html, https://github.com/F1000Research/tximport, https://bio.tools/tximport | https://zenodo.org/record/35123#.W_w3behKiM8 | SCR_016752 | tximport v1.4.0 | 2026-08-03 09:36:35 | 91 | ||||
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Polysolver Resource Report Resource Website 10+ mentions |
Polysolver (RRID:SCR_022278) | software resource, data processing software, software application, data analysis software | Software tool for HLA typing based on whole exome sequencing data and infers alleles for three major MHC class I genes. Enables accurate inference of germline alleles of class I HLA-A, B and C genes and subsequent detection of mutations in these genes using inferred alleles as reference. | HLA typing, whole exome sequencing data, accurate inference of germline alleles, high precision HLA-typing, alleles of class I HLA-A, B and C genes, detection of mutations, inferred alleles | has parent organization: Broad Institute | Blavatnik Family Foundation ; NHLBI 1RO1HL103532; NCI 1R01CA155010; AACR |
PMID:26372948 | Free, Available for download, Freely available | SCR_022278 | POLYmorphic loci reSOLVER, POLYSOLVER | 2026-08-03 09:37:50 | 30 | |||||||
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OpenMM Resource Report Resource Website 10+ mentions |
OpenMM (RRID:SCR_000436) | simulation software, software resource, software application, standalone software | Software toolkit to run modern molecular simulations. It can be used either as a standalone application for running simulations, or as a library that enables accelerated calculations for molecular dynamics on high-performance computer architectures. | modeling, molecular dynamics, molecular simulation |
is used by: CHARMM-GUI is listed by: Simtk.org has parent organization: Stanford University; Stanford; California |
NIGMS U54 GM072970; NIGMS R01 GM062868; NCI P30 CA008748 |
PMID:28746339 PMID:23316124 PMID:38154096 DOI:10.1021/acs.jpcb.3c06662 |
Free, Available for download, Freely available | nif-0000-23334 | https://github.com/openmm/openmm, https://openmm.org/, https://openmm.org/documentation, https://github.com/openmm | https://simtk.org/home/openmm | SCR_000436 | OpenMM 8, OpenMM, OpenMM 7, OpenMM 4 | 2026-08-03 09:31:02 | 12 | ||||
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GoMiner Resource Report Resource Website 100+ mentions |
GoMiner (RRID:SCR_002360) | GoMiner | software resource, software application, data processing software | GoMiner is a tool for biological interpretation of "omic" data including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question, What does it all mean biologically? To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research. GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways: * In the form of a tree, similar to that in AmiGO * In the form of a "Directed Acyclic Graph" (DAG) The program also provides: * Quantitative and statistical analysis * Seamless integration with important public databases GoMiner uses the databases provided by the GO Consortium. These databases combine information from a number of different consortium participants, include information from many different organisms and data sources, and are referenced using a variety of different gene product identification approaches. | experiment, expression, function, gene, genomics, biological, genomic, microarray, omic, process, gene expression, gene ontology, biological process, biological function, biological component, proteomic, database, FASEB list |
is related to: Gene Ontology is related to: High-Throughput GoMiner has parent organization: Georgia Institute of Technology; Georgia; USA has parent organization: Emory University; Georgia; USA has parent organization: National Cancer Institute |
NCI ; Georgia Institute of Technology; Georgia; USA ; Emory University; Georgia; USA |
PMID:12702209 | nif-0000-21181 | SCR_002360 | 2026-08-03 09:31:54 | 115 |
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