Searching the RRID Resource Information Network
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Upper-Level Cancer Ontology Resource Report Resource Website |
Upper-Level Cancer Ontology (RRID:SCR_010443) | CANONT | data or information resource, ontology, controlled vocabulary | Upper-level ontology for cancer. | obo | is listed by: BioPortal | Cancer | nlx_157620 | SCR_010443 | 2026-02-12 09:45:19 | 0 | ||||||||
|
EssSubgraph Resource Report Resource Website 1+ mentions |
EssSubgraph (RRID:SCR_027354) | EssSubgraph | software resource, algorithm resource | A model algorithm that integrates omics data and network data to predict essential genes. | Biomarker, essential gene prediction, GNN | Cancer | National Science Foundation 2243562; National Institutes of Health R35GM149531 |
DOI:10.1101/2025.07.21.665218 | Integrating omics data and protein-protein interaction network data to predict essential genes. | https://github.com/wenmm/EssSubgraph/tree/main | SCR_027354 | 2026-02-11 11:01:25 | 1 | ||||||
|
Common Terminology Criteria for Adverse Events Resource Report Resource Website 10+ mentions |
Common Terminology Criteria for Adverse Events (RRID:SCR_010296) | CTCAE | data or information resource, ontology, controlled vocabulary | A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI). | owl |
is listed by: BioPortal has parent organization: National Cancer Institute |
Cancer | nlx_157370 | SCR_010296 | 2026-02-12 09:45:08 | 10 | ||||||||
|
Wnt homepage Resource Report Resource Website 10+ mentions |
Wnt homepage (RRID:SCR_000662) | Wnt homepage | data or information resource, portal, topical portal | A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year. | wnt signaling, wnt, wnt protein, wnt pathway, signaling, pathway, method, protein, reagent, bibliography | has parent organization: Stanford University; Stanford; California | Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156863 | SCR_000662 | the Wnt homepage | 2026-02-12 09:43:01 | 13 | ||||||
|
AdaptiveCrawler Resource Report Resource Website |
AdaptiveCrawler (RRID:SCR_000573) | AdaptiveCrawler | software resource, web application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 9,2022. A web crawler that can intelligently acquire social media content on the Internet to meet the specific online data source acquisition needs of cancer researchers. | web crawler, acquire social media content on Internet, cancer research, |
is listed by: OMICtools has parent organization: Oak Ridge National Laboratory |
Cancer, Breast cancer, Lung cancer | PMID:24078710 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01170 | SCR_000573 | Adaptive Crawler, Smart Web Crawler | 2026-02-12 09:43:00 | 0 | |||||
|
NCI Thesaurus Resource Report Resource Website 1+ mentions |
NCI Thesaurus (RRID:SCR_003563) | NCIt | data or information resource, ontology, controlled vocabulary | A reference terminology and core biomedical ontology for NCI that covers approximately 100,000 key biomedical concepts with terms, codes, definitions, and more than 200,000 inter-concept relationships. It is the reference terminology for NCI, NCI Metathesaurus and NCI informatics infrastructure covering vocabulary for clinical care, translational and basic research, and public information and administrative activities. It includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities; anatomy; agents, drugs and chemicals; genes and gene products and so on. In certain areas, like cancer diseases and combination chemotherapies, it provides the most granular and consistent terminology available. It combines terminology from numerous cancer research related domains, and provides a way to integrate or link these kinds of information together through semantic relationships. NCIt features: * Stable, unique codes for biomedical concepts; * Preferred terms, synonyms, definitions, research codes, external source codes, and other information; * Links to NCI Metathesaurus and other information sources; * Over 200,000 cross-links between concepts, providing formal logic-based definition of many concepts; * Extensive content integrated from NCI and other partners, much available as separate NCIt subsets * Updated frequently by a team of subject matter experts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP). | thesaurus, clinical, treatment, prevention, biomedical, owl, health, drug, chemotherapy |
is listed by: OBO is listed by: BioPortal is related to: NCI Metathesaurus is related to: OnEx - Ontology Evolution Explorer has parent organization: National Cancer Institute |
Cancer | See license, http://evs.nci.nih.gov/ftp1/NCI_Thesaurus/NCI_THESAURUS_license.txt | nlx_157698 | ftp://ftp1.nci.nih.gov/pub/cacore/EVS/ https://cabig.nci.nih.gov/concepts/EVS/ https://wiki.nci.nih.gov/display/EVS/NCI+Thesaurus+%28NCIt%29 http://nciterms.nci.nih.gov http://purl.bioontology.org/ontology/NCIT |
http://ncicb.nci.nih.gov/core/EVS | SCR_003563 | ncithesaurus | 2026-02-12 09:43:37 | 9 | ||||
|
Cancer Genome Anatomy Project Resource Report Resource Website 100+ mentions |
Cancer Genome Anatomy Project (RRID:SCR_003072) | CGAP | data or information resource, portal, topical portal | Project to determine the gene expression profiles of normal, precancer, and cancer cells, whose generated resources are available to the cancer community. Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find in silico answers to biological questions in a fraction of the time it once took in the laboratory. * Genes * Tissues * Pathways * RNAi * Chromosomes * SAGE Genie * Tools | gene, gene expression, normal cell, precancer cell, cancer cell, cell, genome, anatomy, gene expression profile, tissue, pathway, rnai, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: National Cancer Institute is parent organization of: CGAP GO Browser |
Cancer, Normal, Precancer | NCI | Free, download Freely available | biotools:cgap, nif-0000-30468 | https://mitelmandatabase.isb-cgc.org/mb_search | SCR_003072 | Cancer Genome Anatomy Project (CGAP) | 2026-02-12 09:43:31 | 107 | ||||
|
Strelka Resource Report Resource Website 100+ mentions |
Strelka (RRID:SCR_005109) | Strelka | software resource, commercial organization | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 7,2024. Software for somatic single nucleotide variant (SNV) and small indel detection from sequencing data of matched tumor-normal samples. The method employs a novel Bayesian approach which represents continuous allele frequencies for both tumor and normal samples, whilst leveraging the expected genotype structure of the normal. This is achieved by representing the normal sample as a mixture of germline variation with noise, and representing the tumor sample as a mixture of the normal sample with somatic variation. A natural consequence of the model structure is that sensitivity can be maintained at high tumor impurity without requiring purity estimates. The method has superior accuracy and sensitivity on impure samples compared to approaches based on either diploid genotype likelihoods or general allele-frequency tests. | single nucleotide variant, indel, somatic snv, next-generation sequencing, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Illumina |
Cancer, Tumor, Normal | PMID:22581179 PMID:30013048 |
biotools:strelka | https://bio.tools/strelka https://github.com/Illumina/strelka/ https://sources.debian.org/src/strelka/ |
SCR_005109 | 2026-02-12 09:44:00 | 261 | ||||||
|
Harvard Tissue Atlas Resource Report Resource Website 1+ mentions |
Harvard Tissue Atlas (RRID:SCR_022829) | HTA | data or information resource, atlas | Gathers together imaging and omic datasets into molecular maps of normal and diseased tissue from human and animal models, with emphasis on cancer. Used to access datasets, educational curriculum and talks, and recommended methods and software. | imaging and omic datasets, molecular maps, normal and diseased tissue, human and animal models, cancer datasets | has parent organization: Harvard University; Cambridge; United States | cancer | Free, Freely available | SCR_022829 | tissue-atlas.org | 2026-02-12 09:48:10 | 2 | |||||||
|
Tabula Sapiens Resource Report Resource Website 10+ mentions |
Tabula Sapiens (RRID:SCR_022314) | data or information resource, atlas | Single cell transcriptomic atlas of multiple organs from individual human donors. Multiple organ, single cell transcriptomic atlas of humans. Molecular reference atlas for cell types of human body. Provides molecular definition of these cell types and reveals many other aspects of human biology, including how same gene can be spliced differently in different cell types, how shared cell types in different tissues can have subtle differences in their identities, and how clones of immune system can be shared across tissues. | Single cell transcriptomic atlas, multiple organs, human donors, molecular reference atlas | diabetes, cancer, hypertension, coronary artery disease, hyperlipidemia, bipolar, depression, deep vein thrombosis, flu, mitral regurgitation, osteopenia, venous thromboembolic disease, lupus, pulmonary hypertension, schizophrehnia, seizure, asthma, atrial fibrillation, asplenia, ezcema, hypercholesterolemia, chronic lung disease | Chan Zuckerberg Initiative | DOI:10.1101/2021.07.19.452956 | Free, Freely available | SCR_022314 | 2026-02-12 09:47:32 | 32 | ||||||||
|
Big Ten Cancer Research Consortium Resource Report Resource Website |
Big Ten Cancer Research Consortium (RRID:SCR_004025) | BTCRC | data or information resource, organization portal, portal, consortium | A consortium that aims to transform cancer research through collaborative oncology trials that leverage the scientific and clinical expertise of the Big Ten universities. The goal is to align the conduct of cancer research through collaborative, hypothesis-driven, highly translational oncology trials that leverage the scientific and clinical expertise. The clinical trials that will be developed will be linked to molecular diagnostics, enabling researchers to understand what drives the cancers to grow and what might be done to stop them from growing. The consortium also leverages geographical locations and existing relationships among the cancer centers. One of the consortium's goals is to harmonize contracts and scientific review processes to expedite clinical trials. The consortium will only focus on phase 0 to II trials because larger trials - even a randomized phase II trial - are difficult to conduct at a single cancer center. | oncology, drug development, basic research, clinical trial, clinical, genitourinary, gastrointestinal, thoracic, breast, nanotechnology, virus, triple-negative cell |
is affiliated with: Penn State Milton S. Hershey Medical Center; Pennsylvania; USA is affiliated with: University of Wisconsin-Madison; Wisconsin; USA is affiliated with: Rutgers University; New Jersey; USA is affiliated with: Northwestern University; Illinois; USA is affiliated with: University of Nebraska; Nebraska; USA is affiliated with: University of Minnesota Twin Cities; Minnesota; USA is affiliated with: Michigan State University; Michigan; USA is affiliated with: University of Michigan; Ann Arbor; USA is affiliated with: University of Iowa; Iowa; USA is affiliated with: Indiana University; Indiana; USA is affiliated with: University of Illinois College of Medicine; Illinois; USA has parent organization: Hoosier Cancer Research Network |
Cancer | Public | nlx_158452 | SCR_004025 | Big Ten CRC | 2026-02-13 10:55:21 | 0 | ||||||
|
CDP Resource Report Resource Website 10+ mentions |
CDP (RRID:SCR_004236) | CDP | data or information resource, funding resource, portal, topical portal | National program to improve the diagnosis and assessment of cancer by moving scientific knowledge into clinical practice by coordinating and funding resources and research for the development of innovative in vitro diagnostics, novel diagnostic technologies and appropriate human specimens. The Cancer Diagnosis Program is divided into four branches: Biorepository and Biospecimen Research Branch (BBRB), Diagnostic Biomarkers and Technology Branch (DBTB), Diagnostics Evaluation Branch (DEB), and the Pathology Investigation and Resources Branch (PIRB). | cancer research, cancer funding, cancer research funding |
is listed by: OMICtools has parent organization: DCTD |
Cancer | NCI | Available to cancer researchers | OMICS_01536 | SCR_004236 | Cancer Diagnosis Program | 2026-02-13 10:55:23 | 19 | |||||
|
Brain and Body Donation Program Resource Report Resource Website 100+ mentions |
Brain and Body Donation Program (RRID:SCR_004822) | BBDP | biomaterial supply resource, material resource, tissue bank, brain bank | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. An autopsy-based, research-devoted brain bank, biobank and biospecimen bank that derives its human donors from the Arizona Study of Aging and Neurodegenerative Disease (AZSAND), a longitudinal clinicopathological study of the health and diseases of elderly volunteers living in Maricopa county and metropolitan Phoenix, Arizona. Their function is studied during life and their organs and tissue after death. To date, they have concentrated their studies on Alzheimer's disease, Parkinson's disease, heart disease and cancer. They share the banked tissue, biomaterials and biospecimens with qualified researchers worldwide. Registrants with suitable scientific credentials will be allowed access to a database of available tissue linked to relevant clinical information, and will allow tissue requests to be initiated., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | brain, late adult human, autopsy, mini mental state examination, neuropathological data, medical history, organ, tissue, brain, blood serum, cerebral spinal fluid, clinical, FASEB list |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Banner Sun Health Research Institute |
Aging, Age-related disease, Alzheimer's disease, Parkinson's disease, Arthritis, Prostate cancer, Neurodegenerative disease, Cancer, Progressive supranuclear palsy, Hippocampal sclerosis, Vascular dementia, Dementia with Lewy bodies, Multiple system atrophy, Motor neuron disease, Frontotemporal lobar dementia, Corticobasal degeneration, Dementia, Cerebrovascular disease, Atherosclerosis, Renal hypertensive disease, Fatty liver, Type II diabetes | Michael J. Fox Foundation for Parkinson's Research ; Sun Health Foundation |
PMID:25619230 PMID:33143239 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_80798 | http://www.bannerhealth.com/Research/Research+Institutes/Banner+Sun+Health+Research+Institute/Research/Research+Programs/Brain+and+Body+Donation/Brain+and+Tissue+Bank.htm | http://www.bannerhealth.com/Research/Research+Institutes/Banner+Sun+Health+Research+Institute/Ways+to+Give/Brain+and+Tissue/_Brain+and+Tissue.htm, http://www.bannerhealth.com/Research/Research+Institutes/Banner+Sun+Health+Research+Institute/Research/Research+Programs/Brain+and+Tissue/_Brain+and+Tissue.htm | SCR_004822 | Banner Sun Health Research Institute Brain and Tissue Bank, Banner Health Brain and Tissue Bank, Brain / Body Donation Program, Banner Brain and Tissue Bank, Banner Sun Health Research Institute Brain and Body Donation Program, Brain/Body Donation Program | 2026-02-13 10:55:31 | 121 | ||
|
Surveillance Epidemiology and End Results Resource Report Resource Website 5000+ mentions |
Surveillance Epidemiology and End Results (RRID:SCR_006902) | SEER | data set, data or information resource, report, narrative resource, database | SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users. | cancer, statistics, epidemiology, registry, mortality, cancer mortality, african-american, hispanic, american-indian, alaska native, asian, hawaiian, pacific islander, demographic, tumor site, tumor morphology, stage, treatment, follow-up, vital status, FASEB list |
is listed by: re3data.org is related to: SEER*Stat is related to: NCI SEER Cancer Stage Variable Documentation is related to: SEER Datasets and Software is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Comorbidity SAS Macros is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Linked Data Resource has parent organization: National Cancer Institute |
Cancer, Leukemia | NCI | nif-0000-21366 | SCR_006902 | Surveillance Epidemiology and End Results (SEER) Program, Surveillance Epidemiology End Results, Surveillance Epidemiology End Results (SEER) Program | 2026-02-13 10:55:57 | 6023 | ||||||
|
canSAR Resource Report Resource Website 50+ mentions |
canSAR (RRID:SCR_006794) | canSAR | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data. | molecular target, expression, cell line, compound, molecule, protein, structure, ligand, drug, 3d, genomics, 3d complex, bioactivity, protein affinity, cell line sensitivity, pathway, annotation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: BindingDB is related to: Gene Ontology has parent organization: Cancer Research UK |
Cancer | Cancer Research UK C309/A8274 | PMID:22013161 | CanSAR is freely available to all cancer researchers. By using canSAR you are agreeing to the Terms of Use, Https://cansar.icr.ac.uk/cansar/terms-of-use/ | biotools:cansar, nlx_149410 | https://bio.tools/cansar | SCR_006794 | 2026-02-13 10:55:53 | 54 | ||||
|
ARIAD Resource Report Resource Website 50+ mentions |
ARIAD (RRID:SCR_008559) | ARIAD | material service resource, service resource, reagent manufacture, production service resource | Cambridge, Massachusetts-based biotechnology company focused on cancer. Focus areas are blood cancers and solid tumors. Compounds: ponatinib, AP26113, ridaforolimus and AP1903., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | oncology, drug, therapy, treatment, drug development | uses: FluoroFinder | Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31436 | http://www.ariad.com/wt/page/regulation_kits | SCR_008559 | ARIAD Pharmaceuticals | 2026-02-13 10:56:12 | 55 | |||||
|
Cancer Genomics Hub Resource Report Resource Website 100+ mentions |
Cancer Genomics Hub (RRID:SCR_002657) | CGHub | data repository, storage service resource, data or information resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A secure repository for storing, cataloging, and accessing cancer genome sequences, alignments, and mutation information from the Cancer Genome Atlas (TCGA) consortium and related projects. CGHub gives scientific researchers the statistical power of large cancer genome datasets to attack the molecular complexity of cancer. | genome, genome sequence, alignment, mutation | has parent organization: University of California at Santa Cruz; California; USA | Cancer | PMID:25267794 | THIS RESOURCE IS NO LONGER IN SERVICE. | r3d100011174, nlx_156095 | https://doi.org/10.17616/R3F919 | SCR_002657 | 2026-02-13 10:55:05 | 176 | |||||
|
Developmental Therapeutics Program Resource Report Resource Website 500+ mentions |
Developmental Therapeutics Program (RRID:SCR_003057) | DTP | portal, data or information resource, service resource, funding resource, topical portal | Portal for preclinical information and research materials, including web-accessible data and tools, NCI-60 Tumor Cell Line Screen, compounds in vials and plates, tumor cells, animals, and bulk drugs for investigational new drug (IND)-directed studies. DTP has been involved in the discovery or development of more than 70 percent of the anticancer therapeutics on the market today, and will continue helping the academic and private sectors to overcome various therapeutic development barriers, particularly through supporting high-risk projects and therapeutic development for rare cancers. Initially DTP made its drug discovery and development services and the results from the human tumor cell line assay publicly accessible to researchers worldwide. At first, the site offered in vitro human cell line data for a few thousand compounds and in vitro anti-HIV screening data for roughly 42,000 compounds. Today, visitors can find: * Downloadable in vitro human tumor cell line data for some 43,500 compounds and 15,000 natural product extracts * Results for 60,000 compounds evaluated in the yeast assay * In vivo animal model results for 30,000 compounds * 2-D and 3-D chemical structures for more than 200,000 compounds * Molecular target data, including characterizations for at least 1,200 targets, plus data from multiple cDNA microarray projects In addition to browsing DTP's databases and downloading data, researchers can request individual samples or sets of compounds on 96-well plates for research, or they can submit their own compounds for consideration for screening via DTP's online submission form. Once a compound is submitted for screening, researchers can follow its progress and retrieve data using a secure web interface. The NCI has collected information on almost half a million chemical structures in the past 50 years. DTP has made this information accessible and useful for investigators through its 3-D database, a collection of three-dimensional structures for more than 200,000 drugs. Investigators use the 3-D database to screen compounds for anticancer therapeutic activity. Also available on DTP's website are 127,000 connection tables for anticancer agents. A connection table is a convenient way of depicting molecular structures without relying on drawn chemical structures. As unique lists of atoms and their connections, the connection tables can be indexed and stored in computer databases where they can be used for patent searches, toxicology studies, and precursor searching, for example., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cell line, drug discovery, drug development, drug, treatment, therapy, biopharmaceutical, bortezomib, paclitaxel, romidepsin, eribulin, sipuleucel-t, anticancer therapeutic, compound, natural product extract, animal model, in vivo, in vitro, chemical structure, chemical, structure, anti-hiv, anticancer, molecular structure, database, chemotherapeutic agent, testing, drug synthesis, chemistry, grant, contract, information technology, molecular pharmacology, natural product, pharmaceutical, screening technology, toxicology, pharmacology, screening, FASEB list |
is used by: NIF Data Federation is related to: Integrated Cell Lines has parent organization: National Cancer Institute |
Cancer, Tumor | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30447 | https://medschool.cuanschutz.edu/colorado-cancer-center/research/research-programs/developmental-therapeutics | SCR_003057 | Developmental Therapeutics Program NCI/NIH | 2026-02-13 10:55:10 | 562 | ||||
|
National Center for Integrative Biomedical Informatics Resource Report Resource Website 1+ mentions |
National Center for Integrative Biomedical Informatics (RRID:SCR_001538) | data or information resource, organization portal, portal | The Center develops conceptual models, computational infrastructure, an integrated knowledge repository, and query and analysis tools that enable scientists to effectively access and integrate the wealth of biological data. The National Center for Integrative Biomedical Informatics (NCIBI) was founded in October 2005 and is one of seven National Centers for Biomedical Computing (NCBC) in the NIH Roadmap. NCIBI is based at the University of Michigan as a part of the Center for Computational Medicine and Biology (CCMB). NCIBI is composed of biomedical researchers, computational biologists, computer scientists, developers and human-computer interaction specialists organized into seven major core functions. They work in interdisciplinary teams to collectively develop tools that are not only computationally powerful but also biologically relevant and meaningful. The four initial Driving Biological Projects (prostate cancer progression, Type 1 and type 2 diabetes and bipolar disorder) provide the nucleation point from which tool development is informed, launched, and tested. In addition to testing tools for function, a separate team is dedicated to testing usability and user interaction that is a unique feature of this Center. Once tools are developed and validated the goal of the Center is to share and disseminate data and software throughout the research community both internally and externally. This is achieved through various mechanisms such as training videos, tutorials, and demonstrations and presentations at national and international scientific conferences. NCIBI is supported by NIH Grant # U54-DA021519. | analysis tools, bipolar disorder, code, computational infrastructure, conceptual models, data, diabetes, knowledge repository, presentations, prostate cancer, query tools, seminar material, tool development, tutorials, videos, model |
is listed by: 3DVC is related to: Biological Concept Diagram Editor is related to: Gene Interaction Extraction from the Literature is related to: National Centers for Biomedical Computing has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Substructure Index-based Approximate Graph Alignment is parent organization of: miniTUBA is parent organization of: Michigan Molecular Interactions is parent organization of: Cell Line Knowledge Base is parent organization of: HubMed is parent organization of: MiMI Plugin for Cytoscape |
Type 1 diabetes, Type 2 diabetes, Diabetes, Cancer, Bipolar disorder | PMID:22101971 | Free, Freely available | nif-0000-09660 | http://portal.ncibi.org/gateway/ | SCR_001538 | NCIBI | 2026-02-13 10:54:52 | 1 | |||||
|
Cancer Genomics Consortium Resource Report Resource Website 1+ mentions |
Cancer Genomics Consortium (RRID:SCR_002384) | CGC | data or information resource, organization portal, portal, community building portal | Consortium promoting communication and collaboration among cancer cytogenomics laboratories, who are interested in applying microarray technologies to cancer diagnosis and cancer research. Their oals are to (1) establish platform-neutral and cancer specific microarray designs for diagnostic purposes, (2) share cancer microarray data between participating institutions for education purposes, (3) create a public cancer array database, and (4) carry out multicenter cancer genome translational research. Collaboration amongst the different laboratories and researchers will not only provide validation for the microarray design(s) but ultimately provide more comprehensive molecular information and more accurate interpretation to better serve cancer patients and further cancer research. The CGC was officially incorporated in June 2010 as a not-for-profit organization. | cytogenetics, molecular genetics, molecular pathology, microarray technology, cancer diagnosis, cancer research, microarry, cytogenomics, cancer cytogenomics, cancer genetics, genetics | is listed by: OMICtools | Cancer | Membership fee, Account required | OMICS_01776 | SCR_002384 | CCMC, Cancer Cytogenomics Microarray Consortium | 2026-02-13 10:55:01 | 5 |
Can't find your Tool?
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 FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
scicrunch.org
