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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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dcmqi Resource Report Resource Website 1+ mentions |
dcmqi (RRID:SCR_016933) | dcmqi | data processing software, software resource, software application, image processing software, software library, software toolkit | Software library to help with the conversion between imaging research formats and the standard DICOM representation for image analysis results. Used to implement conversion of the data stored in commonly used research formats into the standard DICOM representation. Available as a precompiled binary package for every major operating system, as a Docker image, and as an extension to 3D Slicer. | DICOM, converter, medical, image, computing, quantitative, analysis, clinical, data, metadata, radiology, standard, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Harvard University; Cambridge; United States |
NCI U24 CA180918; NIBIB P41 EB015902; NIBIB P41 EB01589; NIBIB R01 EB014955 |
PMID:29092948 | Free, Available for download, Freely available, Tutorial available | biotools:dcmqi | https://github.com/QIICR/dcmqi, https://bio.tools/dcmqi | SCR_016933 | DICOM for Quantitative Imaging, The Digital imaging and Communications in Medicine for Quantitative Imaging, Digital imaging and Communications in Medicine for Quantitative Imaging, DCMQI | 2026-08-04 09:44:01 | 3 | ||||
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SCSORS - Semi-Custom Synthesis On-line Request System Resource Report Resource Website 1+ mentions |
SCSORS - Semi-Custom Synthesis On-line Request System (RRID:SCR_005636) | SCSORS | reagent manufacture, production service resource, material service resource, service resource | ChemNavigator has extended its agreement with NCI to include the development of a new Semi-Custom Synthesis On-line Request System (SCSORS), funded mostly by NCI with additional financial support from the NIH Chemical Genomics Center (NCGC). The new SCSORS project will provide the NIH access to the world''s supply of synthetic chemistry available for drug discovery. Once fully formed, SCSORS will provide a strategy for all NIH scientists to circulate requests for specific chemical samples among thousands, if not tens of thousands, of synthetic chemists at suppliers registered in the system. Sample quantities will range from milligram up to kilogram scale requests. Suppliers will be provided tools that allow them to review these requests and make proposals to NIH scientists for the synthesis of substances. It is expected that using the SCSORS strategy will allow the NIH to acquire chemical samples at less than 10% of the internal cost of synthesis while offering access to world wide chemical expertise and diversity. Once fully implemented, SCSORS will become an archive of commercially accessible custom chemistry products for pharmaceutical research. It is expected that this database of commercially accessible substances will grow to over 250 million substances in the coming two years. | compound, pharmaceutical, chemistry, drug discovery, research | NCI | nlx_146249 | SCR_005636 | SCSORS Project, Semi-Custom Synthesis On-line Request System | 2026-08-04 09:41:24 | 1 | ||||||||
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WebArrayDB Resource Report Resource Website 1+ mentions |
WebArrayDB (RRID:SCR_005577) | WebArrayDB | data analysis service, analysis service resource, storage service resource, software resource, production service resource, service resource, data repository, database, data or information resource | An open source integrated microarray database and analysis suite that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion. It allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters. | is listed by: OMICtools | Prostate Cancer Foundation ; Mary Kay Ash Foundation ; NIH ; NIAI R01AI034829; NIAI R01AI052237; NCI R01CA68822; NCI U01CA114810 |
PMID:19602526 | Open source, Account required, The software package is available for the use on a public web server or can be downloaded | OMICS_00782 | SCR_005577 | 2026-08-04 09:41:23 | 8 | |||||||
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PeptideMapper Resource Report Resource Website 1+ mentions |
PeptideMapper (RRID:SCR_005763) | PeptideMapper | data access protocol, software resource, web service | The PeptideMapper Web-Service provides alignments of peptide sequence alignments to proteins, mRNA, EST, and HTC sequences from Genbank, RefSeq, UniProt, IPI, VEGA, EMBL, and HInvDb. This mapping infrastructure is supported, in part, by the compressed peptide sequence database infrastructure (Edwards, 2007) which enables a fast, suffix-tree based mapping of peptide sequences to gene identifiers and a gene-focused detailed mapping of peptide sequences to source sequence evidence. The PeptideMapper Web-Service can be used interactively or as a web-service using either HTTP or SOAP requests. Results of HTTP requests can be returned in a variety of formats, including XML, JSON, CSV, TSV, or XLS, and in some cases, GFF or BED; results of SOAP requests are returned as SOAP responses. The PeptideMapper Web-Service maps at most 20 peptides with length between 5 and 30 amino-acids in each request. The number of alignments returned, per peptide, gene, and sequence type, is set to 10 by default. The default can be changed on the interactive alignments search form or by using the max web-service parameter. | peptide, sequence, protein, alignment, expressed sequence tag, mrna, est, htc, genbank, refseq, uniprot, ipi, vega, embl, hinvdb | has parent organization: Edwards Lab | NCI CA126189 | PMID:17437027 | nlx_149229 | SCR_005763 | PeptideMapper Web-Service, Peptide Mapper | 2026-08-04 09:41:26 | 4 | ||||||
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CGAP GO Browser Resource Report Resource Website 1+ mentions |
CGAP GO Browser (RRID:SCR_005676) | CGAP GO Browser | data set, data or information resource, service resource | With the CGAP GO browser, you can browse through the GO vocabularies, and find human and mouse genes assigned to each term. GO data updated every few months. Platform: Online tool | gene, biological process, cellular component, molecular function, browser, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Cancer Genome Anatomy Project |
NCI | Free for academic use | nlx_149116 | SCR_005676 | Cancer Genome Anatomy Project GO Browser | 2026-08-04 09:41:25 | 4 | ||||||
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Gene Set Enrichment Analysis Resource Report Resource Website 10000+ mentions |
Gene Set Enrichment Analysis (RRID:SCR_003199) | GSEA | data processing software, data analysis software, software resource, software application, software toolkit | Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes. | gene, expression, profile, pathway, data, set, phenotype, genome, enrichment, RNA, analysis, bio.tools, bio.tools |
is used by: Molecular Signatures Database is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GoMapMan has parent organization: Broad Institute |
NCI ; NIH ; NIGMS |
PMID:16199517 | Free, Freely available | nif-0000-30629, SCR_016882, biotools:gsea, OMICS_02279 | http://www.broad.mit.edu/gsea, https://bio.tools/gsea | SCR_003199 | GSEA, Gene Set Enrichment Analysis, Gene Set Enrichment Analysis (GSEA) | 2026-08-04 09:40:50 | 18865 | ||||
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Weighted Gene Co-expression Network Analysis Resource Report Resource Website 1000+ mentions |
Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) | WGCNA | data processing software, software application, software resource, data analysis software | Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, co-expression, analysis, network, bio.tools, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of California at Los Angeles; California; USA |
NCI P50CA092131; NIDA 1R01DA030913-01; NIDCR R01DE019255; NIAID U19 AI063603-01 |
PMID:19114008 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31889, biotools:crosslinkwgcna | http://labs.genetics.ucla.edu/horvath/htdocs/CoexpressionNetwork/Rpackages/WGCNA/#citation, https://bio.tools/crosslinkwgcna | SCR_003302 | WGCNA: an R package for weighted correlation network analysis | 2026-08-04 09:40:52 | 1860 | ||||
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Glioma Molecular Dignostic Initiatives Resource Report Resource Website 10+ mentions |
Glioma Molecular Dignostic Initiatives (RRID:SCR_003329) | GMDI | storage service resource, controlled vocabulary, narrative resource, standard specification, data repository, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. An initiative to develop a molecular classification schema that is both clinically and biologically meaningful, based on gene expression and genomic data from tumors (Gliomas) of patients who will be prospectively followed through natural history and treatment phase of their illness. The study will also explore gene expression profiles to determine the responsiveness of the patients and correlate with discrete chromosomal abnormalities. The initiative was designed to obtain a large amount of molecular data on DNA and RNA of freshly collected tumor samples that were collected, processed and analyzed in a standardized fashion to allow for large-scale cross sample analysis. The sample collection is accompanied by careful and prospective clinical data acquisition, allowing a variety of matched molecular and clinical data permitting a wide variety of analyses. GMDI has accrued fresh frozen tumors in the retrospective phase (all from the Henry Ford Hospital, without germline DNA) and fresh frozen tumors in the prospective phase (from a variety of institutions). In addition to characterizing the samples from patients enrolled in GMDI, the microarray group has generated genomic-scale analyses of the many human and canine glioma initiating cells/glioma stem cells (GIC/GSC) lines, as well as many canine and murine normal neural stem cell (NSC) lines produced in laboratory. | molecular neuroanatomy resource, molecular data, clinical data, genomic analyses, genomics, gene, expression array, snp array, gene expression, microarray, glioma initiating cell, glioma stem cell, protein, glioma, molecular, diagnostic, dna, rna, tumor, tissue, blood, plasma, data repository |
is listed by: One Mind Biospecimen Bank Listing is related to: Repository of molecular brain neoplasia data has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31950 | http://search.engrant.com/project/NxvG9G/the_glioma_molecular_diagnostic_initiative_characterizing_brain_tumor_data | SCR_003329 | Glioma Molecular Diagnostic Initiative: Characterizing Brain Tumor Data | 2026-08-04 09:40:53 | 17 | ||||
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PEtab Resource Report Resource Website |
PEtab (RRID:SCR_026915) | software resource, source code | 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 | 2026-08-03 09:39:23 | 0 | ||||||||
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TooManyCells Resource Report Resource Website 1+ mentions |
TooManyCells (RRID:SCR_025328) | software toolkit, software resource, source code | 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 | 2026-08-03 09:39:08 | 4 | |||||||
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PhosphoSitePlus: Protein Modification Site Resource Report Resource Website 500+ mentions |
PhosphoSitePlus: Protein Modification Site (RRID:SCR_001837) | PSP | portal, knowledge environment resource, data or information resource | A freely accessible on-line systems biology resource devoted to all aspects of protein modification, as well as other post-translational modifications. It provides valuable and unique tools for both cell biologists and mass spectroscopists. PhosphoSite is a human- and mouse-centric database. It includes features such as: viewing the locations of modified residues on molecular models; browsing and searching MS2 records by disease, tissue, and cell line; submitting lists of peptides to identify previously reported genes; searching by sub-cellular localization, treatment, tissues, cell types, cell lines and diseases, and protein types and protein domains; searching for experimentally-verified kinase substrates and viewing preferred substrate motifs; and viewing MS2 spectra for peptides and sites not previously published. | portal, mass spectroscopist, molecular model, mouse, post translational, subcellular localization, protein modification, post-translational modification, protein phosphorylation, protein structure, protein function, ubiquitinylation, acetylation, cellular component, cell type, visualization, data repository, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: Cytoscape is related to: ConsensusPathDB has parent organization: Cell Signaling Technology |
NCI ; NIAAA R44 AA014848; NIGMS R43 GM65768 |
PMID:22135298 | Free, Freely available | biotools:phosphositeplus, nif-0000-10399 | https://bio.tools/phosphositeplus | SCR_001837 | PhosphoSitePlus, PhosphoSite | 2026-08-04 09:40:29 | 903 | ||||
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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 | 2026-08-04 09:40:27 | 162 | ||||
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DAVID Resource Report Resource Website 10000+ mentions |
DAVID (RRID:SCR_001881) | DAVID | web service, software resource, data access protocol, database, 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 | 2026-08-04 09:40:29 | 18488 | ||||
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NCI Site Recode ICD-O-3/WHO 2008 Definition Resource Report Resource Website 1+ mentions |
NCI Site Recode ICD-O-3/WHO 2008 Definition (RRID:SCR_024687) | topical portal, portal, disease-related portal, data or information resource | Website describing International Classification of Diseases-Oncology codes that corresponds to different cancer sites in the Surveillance, Epidemiology, and End Results (SEER) registry. | NIH, International Classification of Diseases-Oncology codes, different cancer sites, Surveillance, Epidemiology, and End Results registry, SEER registry, | cancer | NCI | Free, Freely available | SCR_024687 | , National Cancer Institute Site Recode ICD-O-3/WHO 2008 Definition | 2026-08-04 09:45:36 | 3 | ||||||||
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Cancer Biomedical Informatics Grid Resource Report Resource Website 10+ mentions |
Cancer Biomedical Informatics Grid (RRID:SCR_003328) | portal, organization portal, data or information resource, knowledge environment | THIS RESOURCE IS NO LONGER IN SERVICE, documented July 19, 2016. It has been integrated into the National Cancer Informatics Program (NCIP). The National Cancer Institute launched the cancer Biomedical Informatics Grid (caBIG) to create a virtual network of interconnected data, individuals, and organizations that worked together to redefine how cancer research is conducted. caBIG capabilities allowed researchers and clinicians to collaborate more effectively so that complex research questions might be asked and answered faster and more effectively. The mission of caBIG was to develop a truly collaborative information network that accelerated the discovery of new approaches for the detection, diagnosis, treatment, and prevention of cancer, ultimately improving patient outcomes. | data sharing |
is related to: caTIES - Cancer Text Information Extraction System is related to: caArray has parent organization: National Cancer Institute is parent organization of: caTRIP |
NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31949 | SCR_003328 | caBIG | 2026-08-04 09:40:53 | 32 | |||||||
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Cooperative Human Tissue Network Resource Report Resource Website 10+ mentions |
Cooperative Human Tissue Network (RRID:SCR_004446) | CHTN | biomaterial supply resource, material resource, tissue bank | The Cancer Diagnosis Program of the National Cancer Institute (NCI) initiated the Cooperative Human Tissue Network (CHTN) in 1987 to provide increased access to human tissue for basic and applied scientists from academia and industry to accelerate the advancement of discoveries in cancer diagnosis and treatment. This unique resource provides remnant human tissues and fluids from routine procedures to investigators who utilize human biospecimens in their research. Unlike tissue banks, the CHTN works prospectively with each investigator to tailor specimen acquisition and processing to meet their specific project requirements. Because the CHTN is funded by the NCI, the CHTN is able to maintain nominal processing fees for its services. The CHTN is comprised of five adult divisions and one pediatric division. Each of the adult divisions coordinates investigator applications/requests based upon the investigator's geographic location within North America. The Pediatric Division manages all investigators who request pediatric specimens only. The CHTN divisions share coordination for requests from outside North America. The CHTN divisions work both independently with individual investigators and together as a seamless unit to fulfill requests that are difficult to serve by any single division. The CHTN's unique informatics system allows each division to effectively communicate and network the needs of its investigators to all CHTN divisions. The Network as a whole can then help fulfill an investigator's request. Biospecimens from surgeries, autopsies and other routine procedures: Malignant, Benign, Diseased, Normal, Biofluids (urine, serum, plasma, buffy coat) High quality specimens at LOW processing fees: Fresh, Frozen, Floating in fixative, RNAlater, Paraffin embedded or and/or unstained slides, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | biomaterial supply resource, human tissue, network, cancer, NCI |
is listed by: One Mind Biospecimen Bank Listing is related to: UAB SPORE Biorepository Banks is related to: University of Alabama; Alabama; USA is related to: University of Pennsylvania; Philadelphia; USA is related to: University of Virginia; Virginia; USA is related to: Ohio State University College of Medicine; Ohio; USA is related to: Vanderbilt University; Tennessee; USA |
NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_44126 | http://www.chtn.nci.nih.gov/ | SCR_004446 | Cooperative Human Tissue Network | 2026-08-04 09:41:09 | 25 | |||||
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Case Comprehensive Cancer Center Biorepository and Tissue Processing Core Facility Resource Report Resource Website |
Case Comprehensive Cancer Center Biorepository and Tissue Processing Core Facility (RRID:SCR_004382) | BTPC | biomaterial supply resource, material resource, tissue bank | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. The Case Comprehensive Cancer Center''s Biorepository and Tissue Processing Core Facility (BTPC) serves two primary functions: 1. To build an inventory of remnant human tissues, blood and other body fluids (collectively termed biospecimens) targeted towards cancer and other medical research, for later assignment to investigators; and 2. To provide long term, controlled storage of biospecimens for specific researchers. These samples are for research purposes only and may not be used for clinical diagnosis or implantation into humans. Clinical information relating to the samples and donors are collected and maintained in a secure database. Samples and data are de-identified or de-linked before release to the researcher unless he/she has specific IRB approval to gain access to this information. Remnant biospecimens are prospectively collected from surgical procedures, autopsies and clinical laboratories for the BTPC by the Human Tissue Procurement Facility (HTPF), which operates under UH-IRB Protocol 01-02-45. Blood and bone marrow specimens are collected for the BTPC by the Hematopoietic Stem Cell Core Facility (HSCC), which operates under UH-IRB Protocol 09-90-195. The Division of Surgical Pathology at University Hospitals Case Medical Center (UHCMC) has clinical archives of paraffin blocks that can be made available through the BTPC for retrospective research studies under the approval of the Vice Chair for Clinical Affairs at UHCMC. Surgical Pathologists associated with the BTPC are responsible for determining which blocks can be made available and how much material can be removed from the blocks. Types of Tissue Available * Malignant, benign, diseased, normal and normal human tissues * Normal adjacent tissues available paired with tumor specimens in many cases * Tissues are collected from over 50 anatomic sites * Frozen specimens, OCT-embedded and paraffin-embedded tissues * Large array of paraffin-embedded specimens from clinical archives of paraffin blocks and QC research blocks maintained by the HTPF * Peripheral blood and bone marrow samples from initial visits and follow-up procedures are processed to obtain serum and cell fractions for storage * No samples are collected from individuals with known infectious illnesses * Fetal biospecimens are not collected due to state and local statutes | tissue, blood, body fluid, bone marrow, stem cell, serum, cell fraction, paraffin block, clinical data, malignant tissue, benign tissue, diseased tissue, normal tissue, cancer, control, research, frozen, oct-embedded, paraffin-embedded, tumor, paraffin, oct |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Case Western Reserve University Case Comprehensive Cancer Center |
Cancer, Control, Tumor | NCI P30 CA43703 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_39515 | http://cancer.case.edu/sharedresources/biorepository/ | SCR_004382 | Case Western Biorepository, Case Western Reserve University: Biorepository and Tissue Processing Core Facility, CWRU BTPC, Biorepository and Tissue Processing Core Facility of the Case Comprehensive Cancer Center, Case BTPC, Case Comprehensive Cancer Center Biorepository Tissue Processing Core Facility, Case CCC BTPC, Case Comprehensive Cancer Center Biorepository and Tissue Processing Core Facility, Biorepository Tissue Processing Core Facility, Case Western Biorepository and Tissue Processing Core Facility, CWRU CCC Biorepository Tissue Processing Core Facility, Case CCC Biorepository Tissue Processing Core Facility | 2026-08-04 09:41:07 | 0 | ||||
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AIDS Malignancy Bank Resource Report Resource Website |
AIDS Malignancy Bank (RRID:SCR_004417) | AMB | biomaterial supply resource, material resource, tissue bank | THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 27, 2012. The National Cancer Institute established centers in the United States and its territories for the collection and distribution of tissues, blood and secretions from patients with clinically-characterized AIDS related malignancies in 1994. The AIDS Malignancy Bank makes these tissues available to qualified investigators in the United States for research on AIDS malignancies. It is hoped that by providing access to these high-quality specimens, research in AIDS-related malignancies will be encouraged and expanded. The AMB contains formalin-fixed paraffin-embedded tissues, fresh-frozen tissues, malignant-cell suspensions, fine-needle aspirates, and cell lines from AIDS-related malignancies. The bank also contains serum, plasma, urine, bone marrow, cervical secretions, anal swabs, saliva semen and multi-site autopsy tissues from patients with AIDS-related malignancies who have participated in clinical trials. The bank has an associated database that contains prognostic, staging, outcome and treatment data on patients from whom tissues were obtained. Researchers pay for preparation and shipping of specimens. | tissue, blood, bodily fluid, malignant-cell, fine-needle aspirate, cell line, serum, plasma, urine, bone marrow, cervical secretion, anal swab, saliva, semen, autopsy, clinical data, formalin-fixed paraffin-embedded, fresh-frozen, frozen, suspension, aids, aids related malignancy |
is listed by: One Mind Biospecimen Bank Listing has parent organization: David Geffen School of Medicine at UCLA; California; USA |
AIDS, AIDS related malignancy | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143727 | SCR_004417 | 2026-08-04 09:41:08 | 0 | ||||||
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Ohio State Biorepository Resource Report Resource Website |
Ohio State Biorepository (RRID:SCR_004714) | HTRN Biospecimen Bank | biomaterial supply resource, material resource, tissue bank | The HTRN biospecimen bank is comprised of samples for the Ohio State University Cancer and Leukemia Group B Pathology Coordinating Office (CALGB-PCO) and the Ohio State University Midwestern Division of the Cooperative Human Tissue Network (CHTN). The CALGB-PCO banks biospecimens donated by patients enrolled in clinical trials. Samples can include tumor and normal tissue, plasma, serum, whole blood and white blood cells and urine. All of these samples are used later in correlative studies. The Midwestern Division of the CHTN stores a temporary biospecimen bank of tumor and normal tissue, tissue slides and paraffin embedded tissue blocks for research investigators throughout the country and Canada who are trying to find a cure for cancer. As part of the HTRN biospecimen bank, a Rees Scientific equipment monitoring system helps to secure the integrity and quality of samples stored in the biorepository. Scientific research within the HTRN is currently underway to determine the best methods in tissue storage for long term use. The NCI First-Generation Guidelines for NCI-Supported Biorepositories and the NCI Best Practices for Biospecimen Resources are continuously reviewed and adapted by the HTRN. | tumor tissue, normal tissue, plasma, serum, whole blood, white blood cell, urine, blood, tissue, tissue slide, paraffin embedded tissue block, slide, paraffin, cancer, leukemia, research |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Ohio State University College of Medicine; Ohio; USA has parent organization: Human Tissue Resource Network |
Cancer, Leukemia, Tumor | NCI | Private and Public (USA and Canada): Serves the Ohio State University Cancer and Leukemia Group B Pathology Coordinating Office (CALGB-PCO) and the Ohio State University Midwestern Division of the Cooperative Human Tissue Network (CHTN). The Midwestern Division of the CHTN stores a temporary biospecimen bank of tumor and normal tissue, Tissue slides and paraffin embedded tissue blocks for research investigators throughout the country and Canada who are trying to find a cure for cancer. | nlx_71208 | http://www.pathology.med.ohio-state.edu/htrn/Biorepository/default.asp | SCR_004714 | Human Tissue Resource Network Biospecimen Bank, HTRN Biorepository Biospecimen Resource, HTRN Biorepository & Biospecimen Resource, HTRN Biorepository and Biospecimen Resource, HTRN Biorepository | 2026-08-04 09:41:12 | 0 | ||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | data analysis service, analysis service resource, production service resource, service resource | PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. PILGRM is for the biologist with a set of proteins relevant to a disease, biological function or tissue of interest who wants to find additional players in that process. It uses a data driven method that provides added value for literature search results by mining compendia of publicly available gene expression datasets using lists of relevant and irrelevant genes (standards). PILGRM produces publication quality PDFs usable as supplementary material to describe the computational approach, standards and datasets. Each PILGRM analysis starts with an important biological question (e.g. What genes are relevant for breast cancer but not mammary tissue in general?). For PILGRM to discover relevant genes, it needs examples of both genes that you would (positive) and would not (negative) find interesting. Lists of these genes are what we call standards and in PILGRM you can build your own standards or you can use standards from common sources that we pre-load for your convenience. PILGRM lets you build your own literature-documented standards so that processes, disease, and tissues that are not well covered in databases of tissue expression, disease, or function can still be used for an analysis. | data mining, gene expression, user directed data mining, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NIGMS P50 GM071508; NCI T32 CA005928 |
PMID:21653547 | nlx_75372, biotools:pilgrm | https://bio.tools/pilgrm | SCR_004749 | Platform for Interactive Learning by Genomics Results Mining | 2026-08-04 09:41:13 | 1 |
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We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
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