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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GoMiner Resource Report Resource Website 100+ mentions |
GoMiner (RRID:SCR_002360) | GoMiner | software resource, data processing software, software application | 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 | 2026-02-14 02:05:16 | 115 | |||||||
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Ohio State Leukemia Tissue Bank Resource Report Resource Website |
Ohio State Leukemia Tissue Bank (RRID:SCR_000529) | LTBSR | biomaterial supply resource, tissue bank, material resource | The OSU Comprehensive Cancer Center Leukemia Tissue Bank Shared Resource (LTBSR) facilitates the successful translation of basic leukemia research to the clinical setting via an extensive repository of tissue samples and accompanying pathologic, cytogenetic and clinical data for ready correlation of clinical and biological results. The LTBSR, which is an NCI-sponsored biorepository, has more than 40,000 vials of cryopreserved viable cells and 13,000 vials of matched frozen plasma and/or serum samples from more than 4,000 patients treated for leukemia and other malignancies. Committed to furthering translational research efforts for OSUCCC - James members and the cancer research community, the LTBSR provides investigators with training and technical support as well as procurement, processing, storage, retrieval and distribution of clinical research materials. In many cases, the LTBSR serves as the central processing lab for multi-site trials in which the principal investigator is an OSUCCC - James member. The LTBSR's goals are to: * Provide a central collection, processing and a state-of-the-art repository for samples collected from leukemia patients treated on OSUCCC - James protocols, and * Provide materials to investigators involved in collaborative studies with OSU, who examine relevant cellular and molecular properties of leukemia and correlate these properties with clinical or population-based outcomes. | leukemia, tissue, plasma, serum, cell, cells, viable cells, cryopreserved viable cells, pathologic data, cytogenetic data, clinical data, frozen, cryopreserved, malignancy, cancer |
is listed by: One Mind Biospecimen Bank Listing has parent organization: OSUCCC-James |
Leukemia, Cancer | NCI 2P30CA016058-40 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_55663 | http://www.osuccc.osu.edu/11167.cfm | SCR_000529 | OSUCCC Leukemia Tissue Bank Shared Resource, OSUCCC LTBSR, OSU Comprehensive Cancer Center Leukemia Tissue Bank Shared Resource | 2026-02-14 02:05:58 | 0 | ||||
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CPCTR: Cooperative Prostate Cancer Tissue Resource Resource Report Resource Website 1+ mentions |
CPCTR: Cooperative Prostate Cancer Tissue Resource (RRID:SCR_000803) | CPCTR | biomaterial supply resource, tissue bank, material resource | THIS RESOURCE IS NO LONGER IN SERVICE. Doumented on September 23,2022. The National Cancer Institute initially established the Cooperative Prostate Cancer Tissue Resource (CPCTR) to provide prostate cancer tissue samples with clinical annotation to researchers. The Resource provides access to formalin-fixed, paraffin-embedded primary prostate cancer tissue with associated clinical and follow-up data for research studies, particularly studies focused on translating basic research findings into clinical application. Fresh-frozen tissue is also available with limited clinical follow up information since these are more recent cases. The Resource database contains pathologic and clinical information linked to a large collection of prostate tissue specimens that is available for research. Researchers can determine whether the Resource has the tissues and patient data they need for their individual research studies. Consultation and interpretive services: Assistance is available from trained CPCTR pathologists. The CPCTR can provide consultative assistance in staining interpretation, and scoring, on a collaborative basis. Fresh Frozen and Paraffin Tissue: The resource has over 7,000 annotated cases (including 7,635 specimens and 38,399 annotated blocks). Tissue Microarrays (TMA): The CPCTR has slides from prostate cancer TMAs with associated clinical data. The information provided for each case on the arrays (derived from radical prostatectomy specimens) includes: age at diagnosis, race, PSA at diagnosis, tumor size, TNM stage, Gleason score and grade, and vital status and other variables. | prostate cancer, tissue microarray, fresh frozen, paraffin tissue, tumor, tissue, primary prostate cancer tissue, clinical data, follow-up data, outcome data, formalin-fixed paraffin-embedded |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Pittsburgh; Pennsylvania; USA |
Prostate cancer | NCI CA086772 | PMID:15269132 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143725 | SCR_000803 | Cooperative Prostate Cancer Tissue Resource | 2026-02-14 02:06:00 | 2 | ||||
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UniProt Resource Report Resource Website 10000+ mentions |
UniProt (RRID:SCR_002380) | UniProt | data or information resource, database | Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB. | collection, protein, sequence, annotation, data, functional, information |
is used by: LIPID MAPS Proteome Database is used by: ChannelPedia is used by: Open PHACTS is used by: DisGeNET is used by: Smart Dictionary Lookup is used by: MitoMiner is used by: Cytokine Registry is used by: MobiDB is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: Phospho.ELM is used by: GEROprotectors is used by: SwissLipids 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: re3data.org is listed by: LabWorm is related to: Clustal W2 is related to: UniProt DAS is related to: UniParc at the EBI is related to: ProDom is related to: LegumeIP is related to: Pathway Commons is related to: NIH Data Sharing Repositories is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: 3D-Interologs is related to: Biomine is related to: EBIMed is related to: STOP is related to: Coremine Medical is related to: BioExtract is related to: STRAP is related to: GOTaxExplorer is related to: GoAnnotator is related to: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures is related to: Whatizit is related to: MOPED - Model Organism Protein Expression Database is related to: Polbase is related to: PredictSNP is related to: PSICQUIC Registry is related to: IntAct is related to: p300db is related to: UniProt Proteomes is related to: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation has parent organization: European Bioinformatics Institute has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: Protein Information Resource is parent organization of: UniProtKB is parent organization of: NEWT is parent organization of: UniParc is parent organization of: UniProt Chordata protein annotation program is parent organization of: UniRef works with: Genotate works with: CellPhoneDB works with: MOLEonline works with: MiMeDB |
NHGRI U41 HG006104; NHGRI P41 HG02273; NIGMS 5R01GM080646; NIGMS R01 GM080646; NLM G08 LM010720; NCRR P20 RR016472; NSF DBI-0850319; British Heart Foundation ; NEI ; NHLBI ; NIA ; NIAID ; NIDDK ; NIMH ; NCI ; EMBL ; PDUK ; ARUK ; NHGRI U24 HG007722 |
PMID:19843607 PMID:18836194 PMID:18045787 PMID:17142230 PMID:16381842 PMID:15608167 PMID:14681372 |
nif-0000-00377, SCR_018750, r3d100010357 | http://www.ebi.uniprot.org http://www.uniprot.org/uniprot/ http://www.pir.uniprot.org ftp://ftp.uniprot.org https://doi.org/10.17616/R3BW2M |
SCR_002380 | , The Universal Protein Resource, Universal Protein Resource, UNIPROT Universal Protein Resource | 2026-02-14 02:05:47 | 17565 | |||||
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Cancer Imaging Phenomics Toolkit Resource Report Resource Website 1+ mentions |
Cancer Imaging Phenomics Toolkit (RRID:SCR_017323) | CaPTk | software resource, image analysis software, data processing software, software application | Software platform for analysis of radiographic cancer images. Used as quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome. | analysis, radiographic, cancer, image, quantitative, analytics | is related to: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA | Cancer | NCI U24 CA189523 | PMID:29340286 | Free, Available for download, Freely available | https://github.com/CBICA/CaPTk/ | SCR_017323 | Cancer Imaging Phenomics Toolkit | 2026-02-14 02:05:38 | 7 | ||||
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mgatk Resource Report Resource Website 1+ mentions |
mgatk (RRID:SCR_021159) | data processing software, software resource, software toolkit, software application | Software python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. This package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays. | processing .bam files, mitochondrial reads, heteroplasmy estimation, sequencing data, mitochondrial genotypes, mtscATAC-seq | NCI F31 CA232670; NCI R01 CA208756; NCI P01 CA206978; NCI U10 CA180861; NIDDK R01 DK103794; NHLBI R33 HL120791 |
DOI:10.1038/s41587-020-0645-6 | Free, Available for download, Freely available | SCR_021159 | mitochondrial genome analysis toolkit | 2026-02-14 02:05:42 | 2 | ||||||||
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xHLA Resource Report Resource Website 1+ mentions |
xHLA (RRID:SCR_022277) | software resource, data processing software, software application | Software tool for fast and accurate HLA typing from short read sequence data. Iteratively refines mapping results at amino acid level to achieve four digit typing accuracy for both class I and II HLA genes, taking only 3 min to process 30× whole genome BAM file on desktop computer. | HLA typing, short read sequence data, refines mapping results, amino acid level, four digit typing accuracy | NCI 5U24CA076518; NHLBI 5U10HL069294; Health Resources and Services Administration ; Office of Naval Research Grants |
PMID:28674023 | Free, Available for download, Freely available | SCR_022277 | 2026-02-14 02:05:22 | 2 | |||||||||
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arcasHLA Resource Report Resource Website 1+ mentions |
arcasHLA (RRID:SCR_022286) | software resource, data processing software, software application | Software tool for high resolution HLA typing from RNAseq. Fast and accurate in silico inference of HLA genotypes from RNA-seq. | in silico inference of HLA genotypes, RNA-seq data, HLA typing | DARPA ; Phillip A. Sharp award ; NCI U54CA193313; NIGMS R01GM117591 |
PMID:31173059 | Free | SCR_022286 | 2026-02-14 02:05:37 | 8 | |||||||||
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Harvard Medical School Center for Cancer Systems Pharmacology Resource Report Resource Website |
Harvard Medical School Center for Cancer Systems Pharmacology (RRID:SCR_022831) | CCSP | data or information resource, organization portal, portal | Center includes studies for responsiveness and resistance to anti cancer drugs. Committed to training students and postdocs, promoting junior faculty and ensuring that data and software are reproducible, reliable and publicly accessible. Member of National Cancer Institute’s Cancer Systems Biology Consortium. | anti cancer drugs, responsiveness and resistance, National Cancer Institute, Systems Biology Consortium. | has parent organization: Harvard University; Cambridge; United States | Cancer, Melanoma, Triple negative breast cancer (TNBC), Glioblastoma multiforme (GBM) | NCI U54 CA225088 | Free, Freely available | SCR_022831 | Center for Cancer Systems Pharmacology | 2026-02-14 02:05:46 | 0 | ||||||
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DeepNeuro Resource Report Resource Website 1+ mentions |
DeepNeuro (RRID:SCR_016911) | software resource, software toolkit | Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners. | Design and train neural network architectures, medical imaging, neuroimaging data, neuroimaging |
uses: Python Programming Language is related to: Massachusetts General Hospital has parent organization: Harvard University; Cambridge; United States |
NIDA T90 DA022759; NIDA R90 DA023427; NIH Blueprint for Neuroscience Research ; NIBI ; NIBIB T32 EB1680; NCI U01 CA154601; NCI U24 CA180927; NCI U24 CA180918; NIBIB P41 EB015896 |
PMID:32578020 | Free, Available for download, Freely available | SCR_016911 | 2026-02-14 02:07:18 | 2 | ||||||||
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Exon Array Browser Resource Report Resource Website 1+ mentions |
Exon Array Browser (RRID:SCR_008712) | Exon Array Browser | data or information resource, service resource, database | Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease. | mature mouse, forebrain, transcriptome, astrocyte, neuron, oligodendrocyte, brain development, brain function, molecular neuroanatomy resource, visualization | has parent organization: Stanford University; Stanford; California | NINDS R01NS045621; NEI R01EY10257; NEI EY07033; Medical Scientist Training Program Grant MSTP GM07365; Australian National Health and Medical Research Council CJ Martin Fellowship 400438; NIDDK DK54388; NCI CA095030 |
PMID:18171944 | Free, Freely available | nlx_143565 | SCR_008712 | 2026-02-14 02:06:10 | 1 | ||||||
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OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules Resource Report Resource Website |
OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules (RRID:SCR_010696) | OKCAM | data or information resource, knowledgebase, database | OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families. Totally 496 human CAM genes were compiled and annotated. We have mapped these genes onto a novel cell adhesion molecule ontology (CAMO) that provides a hierarchical description of cell adhesion molecules and their functions. It is intended to provide a means to facilitate better and better understanding of the global and specific properties of CAMs through their genomic features, regulatory modes, expression patterns and disease associations become clearer. You may browse by CAM ontology, Chromosomes and Full Gene list. | cell adhesion molecule, gene, cell adhesion, molecule, cadherin, immunoglobulin, fibronectiniii, integrin, neurexin, neuroligin, catenin, chromosome |
has parent organization: Peking University; Beijing; China is parent organization of: CAMO - Cell Adhesion Molecule Ontology |
China Scholarship Council ; NCI P50CA/DA84718; NIDA P50CA/DA84718; China National High-tech 863 Programs 2006AA02A312; China National High-tech 863 Programs 2006AA02Z334; China National High-tech 973 Programs 2007CB946904 |
PMID:18790807 | nlx_81469 | SCR_010696 | OKCAM: Ontology-based Knowledgebase for Human Cell Adhesion Molecules | 2026-02-14 02:06:39 | 0 | ||||||
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SYGNAL Resource Report Resource Website 1+ mentions |
SYGNAL (RRID:SCR_023080) | software resource, software toolkit | Software pipeline to integrate correlative, causal and mechanistic inference approaches into unified framework that systematically infers causal flow of information from mutations to TFs and miRNAs to perturbed gene expression patterns across patients. Used to decipher transcriptional regulatory networks from multi-omic and clinical patient data. Applicable for integrating genomic and transcriptomic measurements from human cohorts. | Integrating genomic and transcriptomic measurements, human cohorts, transcriptional regulatory networks, integrate correlative, causal and mechanistic inference, unified framework, infers causal flow of information, mutations to TFs, miRNAs to perturbed gene expression patterns across patients, | NIGMS P50GM076547; NIGMS R01GM077398; NSF ABI NSF-1262637; NSF DBI-0640950; NCI U24CA143835; American Cancer Society Research Scholar Grant |
PMID:27426982 | Free, Available for download, Freely available | SCR_023080 | SYstems Genetic Network AnaLysis | 2026-02-14 02:07:38 | 1 | ||||||||
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mtradeR Resource Report Resource Website |
mtradeR (RRID:SCR_022977) | software resource, software toolkit | Software R package implements Joint model with Matching and Regularization and simulation pipeline. Used to test association between taxa and disease risk, and adjusted for correlated taxa screened by pre-selection procedure in abundance and prevalence, individually. | test association between taxa and disease risk, correlated taxa screening, taxa and disease risk | NIDDK U24DK097771; NCI CA21765; American Lebanese Syrian Associated Charities |
PMID:36123651 | Free, Available for download, Freely available | SCR_022977 | Metagenomic TRajectory Analysis with Disease Endpoint and Risk factors | 2026-02-14 02:07:22 | 0 | ||||||||
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SCRuB Resource Report Resource Website 1+ mentions |
SCRuB (RRID:SCR_023518) | software resource, software toolkit | Software R package to help researchers address common issue of contamination in microbial studies. Well aware MiSeq decontamination program. | Source tracking, contamination removal, microBiomes, MiSeq decontamination, contamination in microbial studies, | Rockefeller University ; Columbia University ; CIFAR Azrieli Global Scholarship ; NICHD R01HD106017; NCI R01CA245894 |
PMID:36928429 | Free, Available for download, Freely available | SCR_023518 | Source-tracking for Contamination Removal in microBiomes, Source tracking for Contamination Removal in microBiomes | 2026-02-14 02:07:23 | 1 | ||||||||
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bam readcount Resource Report Resource Website 10+ mentions |
bam readcount (RRID:SCR_023653) | software resource, software application | Software tool that runs on BAM or CRAM file and generates low level information about sequencing data at specific nucleotide positions. Its outputs include observed bases, readcounts, summarized mapping and base qualities, strandedness information, mismatch counts, and position within the reads. | BAM file, CRAM file, sequencing data, nucleotide positions, | NCI R50CA211782; NCI P01CA101937; NCI K22CA188163; NCI 1U01CA209936; NCI U24CA237719; Edward P. Evans Foundation ; NHGRI R00 HG007940 |
PMID:34341766 | Free, Available for download, Freely available | SCR_023653 | bam-readcount | 2026-02-14 02:07:36 | 22 | ||||||||
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Sanford Burnham Prebys Medical Discovery Institute Cancer Metabolism Core Facility Resource Report Resource Website |
Sanford Burnham Prebys Medical Discovery Institute Cancer Metabolism Core Facility (RRID:SCR_014873) | core facility, access service resource, service resource | Facility that aims to investigate role of metabolism in cancer on cellular and organismal level, combining in vitro and in vivo analysis. Comprehensive metabolic facility, including stable isotope tracing and flux analysis. Provides analysis of metabolism using specialist instruments and methodologies, together with advice on planning experiments and analyzing data. All instruments and approaches are available on fee-for-service basis to Cancer Center scientists, but alsoto outside users. Samples for most services can be shipped, but Seahorse analyzer users need to be local so they can bring live cells for analysis. | Cancer metabolism, cellular metabolism, metabolism analysis, ABRF |
is listed by: ABRF CoreMarketplace is related to: USEDit has parent organization: Sanford Burnham Prebys Medical Discovery Institute |
NCI P30CA030199 | Open | ABRF_565 | https://coremarketplace.org/?FacilityID=565 | http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_CancerMetabolism.aspx | SCR_014873 | SBP Cancer Metabolism Core, Sanford Burnham Prebys Medical Discovery Institute Cancer Metabolism Core, SBP Medical Discovery Institute Cancer Metabolism Core | 2026-02-14 02:08:34 | 0 | |||||
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Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility (IGC) Resource Report Resource Website 500+ mentions |
Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility (IGC) (RRID:SCR_014842) | SALK IGC, IGC | core facility, access service resource, service resource | Core facility established to assist the Salk community with integrating genomics data into their research. The primary focus of the core is to provide analysis support for next-generation sequencing applications. | core facility, gene, genomic, genomic data, analysis, consultation, applications | NCI CA014195; Helmsley Trust ; Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility |
Open | SCR_014842 | , Integrative Genomics, Salk, Core Facility, Institute, Razavi Newman, UCSD, Bioinformatics | 2026-02-14 02:08:24 | 940 | ||||||||
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Annotare Resource Report Resource Website |
Annotare (RRID:SCR_000319) | software resource, standalone software, software application | A software tool for annotating biomedical investigations and the resulting data, then producing a MAGE-TAB file. This software is a standalone desktop which features: an editor function, an annotation modifier, incorporation of terms from biomedical ontologies, standard templates for common experiment types, a design aid to help create a new document, and a validator that checks for syntactic and semantic violations. | biomedical research, magetab, editor, annotation, biomedical ontology | is listed by: OMICtools | NIBIB ; NCI ; NHGRI P41 HG003619 |
PMID:20733062 | Free, Available for download, Freely available | OMICS_00741 | SCR_000319 | annotare: a tool for annotating high-throughput biomedical investigations and resulting data | 2026-02-14 02:06:51 | 0 | ||||||
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nondetects Resource Report Resource Website 1+ mentions |
nondetects (RRID:SCR_001702) | software resource, standalone software, software application | Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data. | mac os x, unix/linux, windows, r, assay domain, gene expression, preprocessing, technology, workflow step, qpcr, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
NCI CA009363; NCI CA138249; NHGRI HG006853; Edelman-Gardner Foundation |
PMID:24764462 | Free, Available for download, Freely available | OMICS_03938, biotools:nondetects | https://bio.tools/nondetects | SCR_001702 | nondetects - Non-detects in qPCR data | 2026-02-14 02:07:00 | 1 |
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