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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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Oncotest Resource Report Resource Website 1+ mentions |
Oncotest (RRID:SCR_000489) | Oncotest | commercial organization | A contract research organization (CRO) specializing in preclinical oncology services. As a pioneer in the field of patient derived tumor xenografts (PDX), they provide tailored solutions to the problems faced by preclinical oncology researchers. They assist with the identification of the best drug candidates and the validation of their targets and deliver in-depth bioinformatics analyses, laying the groundwork for the successful planning of clinical trials. Their diverse tumor model collection enables them to recommend the right assays and models to answer their customers' questions. Their AAALAC accredited facilities with IVC system, separate model development unit, large cage capacity of over 14,500 mice and proprietary electronic measurement system with an integrated database and by continuously maintaining important PDX models in mice, they are able to provide the highest standard of testing within a reasonable timeframe. | preclinical, oncology, xenograft |
is related to: PREDECT is related to: Charles River Laboratories |
Cancer, Tumor | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158264 | SCR_000489 | SciCrunch Registry | Oncotest GmbH | 2026-11-07 11:54:02 | 2 | ||||||
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MuTect Resource Report Resource Website 100+ mentions |
MuTect (RRID:SCR_000559) | MuTect | software resource | Software for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes. | next-generation sequencing, somatic mutation, tumor, normal, genome, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite has parent organization: Broad Institute |
Cancer | PMID:23396013 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:mutect, OMICS_00087 | https://bio.tools/mutect | SCR_000559 | SciCrunch Registry | Mutect | 2026-11-07 11:54:03 | 102 | ||||
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Merck Resource Report Resource Website 10000+ mentions |
Merck (RRID:SCR_001287) | Merck | commercial organization | An American pharmaceutical company aiming to make a difference in the lives of people globally through their medicines, vaccines, biologic therapies and animal health products. | pharmaceutical, merck sharp & dohme corp, merck sharp and dohme corp, merck sharp and dohme, merck sharp & dohme corp., msd, medicine, endocrinology, neuroscience, oncology, respiratory, immunology, vaccine, animal health, veterinary |
uses: Kaggle uses: Tableau Desktop uses: FluoroFinder is affiliated with: European Federation of Pharmaceutical Industries and Associations is related to: eTRIKS is related to: OncoTrack is related to: European Lead Factory is related to: GetReal is related to: Investigator Databank is related to: Kinetics for Drug Discovery is related to: MIP-DILI is related to: ORBITO is related to: PharmaCog is related to: Asian Cancer Research Group is related to: Open PHACTS is related to: Collaboratory of AIDS Researchers for Eradciation (CARE) is parent organization of: MEDINA Foundation is parent organization of: Asian Cancer Research Group is parent organization of: Asia Training Consortium |
Diabetes, Cancer, Cardiovascular disease, Infectious disease | Crossref funder ID: 100004334, Wikidata: Q247489, grid.417993.1, ISNI: 0000 0001 2260 0793, nlx_152409 | https://ror.org/02891sr49 | SCR_001287 | SciCrunch Registry | Merck and Co., Merck and Co. Inc., Merck & Co. Inc., Merck & Co. | 2026-11-07 11:54:20 | 10286 | ||||||
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SomaticCall Resource Report Resource Website |
SomaticCall (RRID:SCR_001196) | SomaticCall | software resource | Software program that finds single-base differences (substitutions) between sequence data from tumor and matched normal samples. It is designed to be highly stringent, so as to achieve a low false positive rate. It takes as input a BAM file for each sample, and produces as output a list of differences (somatic mutations). Note: This software package is no longer supported and information on this page is provided for archival purposes only. | somatic mutation, substitution, sequence, bam, mutation |
is listed by: OMICtools has parent organization: Broad Institute |
Tumor, Cancer, Normal | OMICS_02155 | SCR_001196 | SciCrunch Registry | 2026-11-07 11:54:22 | 0 | ||||||||
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Patchwork Resource Report Resource Website 10+ mentions |
Patchwork (RRID:SCR_000072) | Patchwork | software resource | Software tool for analyzing and visualizing allele-specific copy numbers and loss-of-heterozygosity in cancer genomes. The data input is in the format of whole-genome sequencing data which enables characterization of genomic alterations ranging in size from point mutations to entire chromosomes. High quality results are obtained even if samples have low coverage, ~4x, low tumor cell content or are aneuploid. Patchwork takes BAM files as input whereas PatchworkCG takes input from CompleteGenomics files. TAPS performs the same analysis as Patchwork but for microarray data. | genome, allele, copy number, bam, unix, r, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Uppsala University; Uppsala; Sweden |
Cancer, Tumor | PMID:23531354 | Free, Available for download, Freely available | biotools:patchwork, OMICS_02118 | https://bio.tools/patchwork | SCR_000072 | SciCrunch Registry | 2026-11-07 11:53:52 | 10 | |||||
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GISTIC Resource Report Resource Website 50+ mentions |
GISTIC (RRID:SCR_000151) | GISTIC | software resource | Software to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, they improve the estimation of background rates for each category. | somatic copy-number alteration, gene |
is listed by: OMICtools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Cancer | PMID:21527027 | Free, Available for download, Freely available | OMICS_02296 | SCR_000151 | SciCrunch Registry | GISTIC2.0, GISTIC 2.0, GISTIC 2 | 2026-11-07 11:53:53 | 58 | |||||
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HMS LINCS Database Resource Report Resource Website 10+ mentions |
HMS LINCS Database (RRID:SCR_006454) | LINCS, HMS-LINCS, HMS LINCS | data or information resource, data repository, database, service resource, storage service resource | Database that contains all publicly available HMS LINCS datasets and information for each dataset about experimental reagents and experimental and data analysis protocols. Experimental reagents include small molecule perturbagens, cells, antibodies, and proteins. | tumor, cancer, database, molecular signature, perturbing agent |
is used by: LINCS Information Framework is recommended by: National Library of Medicine is related to: Broad Institute is related to: OME-TIFF Format is related to: HMS LINCS Center has parent organization: Harvard Medical School; Massachusetts; USA is parent organization of: LINCS Connectivity Map |
Cancer, Diseased joint, Autoimmune disease | NHGRI U54 HG006097; NIH Common Fund |
Available to the research community | nlx_156062, r3d100011833 | http://lincs.hms.harvard.edu/, https://doi.org/10.17616/R3ZK9R | SCR_006454 | SciCrunch Registry | NIH LINCS Program, NIH LINCS, Harvard Medical School LINCS Database, LINCS Program, Library of Integrated Network-based Cellular Signatures | 2026-11-07 11:56:09 | 15 | ||||
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Congressionally Directed Medical Research Program Resource Report Resource Website 50+ mentions |
Congressionally Directed Medical Research Program (RRID:SCR_006456) | CDMRP | nonprofit organization | Fund the best research to eradicate diseases and support the warfighter to benefit the American Public. They promote innovative research, recognizing untapped opportunities, creating partnerships, and guarding the public trust. Research Program topics include: * Amyotrophic Lateral Sclerosis * Autism * Bone Marrow Failure * Breast Cancer * Defense Medical Research and Development Program * Duchenne Muscular Dystrophy * Gulf War Illness * Lung Cancer * Multiple Sclerosis * Neurofibromatosis * Ovarian Cancer * Peer Reviewed Cancer * Peer Reviewed Medical * Peer Reviewed Orthopaedic * Prostate Cancer * Psychological Health / Traumatic Brain Injury * Spinal Cord Injury * Tuberous Sclerosis Complex | grant, funding, one mind tbi, one mind ptsd, medical, medical research, psychological health, orthopedic, peer review, biomedical |
is related to: NIDDK Information Network (dkNET) has parent organization: U.S. Department of Defense |
Amyotrophic Lateral Sclerosis, Autism, Bone marrow failure, Breast cancer, Duchenne muscular dystrophy, Gulf War Illness, Lung cancer, Multiple Sclerosis, Neurofibromatosis, Ovarian cancer, Cancer, Prostate cancer, Traumatic brain injury, Spinal cord injury, Tuberous sclerosis complex | United States Department of Defense | nif-0000-00443, grid.496791.4, Crossref funder ID: 100000090, ISNI: 0000 0000 9367 6288, Wikidata: Q45134126 | https://ror.org/03g2zjp07 | SCR_006456 | SciCrunch Registry | DOD CDMRP | 2026-11-07 11:56:13 | 53 | |||||
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CHASM/SNV-Box Resource Report Resource Website 1+ mentions |
CHASM/SNV-Box (RRID:SCR_006445) | CHASM/SNV-Box | data or information resource, database, software resource | CHASM is a method that predicts the functional significance of somatic missense mutations observed in the genomes of cancer cells, allowing mutations to be prioritized in subsequent functional studies, based on the probability that they give the cells a selective survival advantage. SNV-Box is a database of pre-computed features of all possible amino acid substitutions at every position of the annotated human exome. Users can rapidly retrieve features for a given protein amino acid substitution for use in machine learning. | is listed by: OMICtools | Cancer | NCI CA152432; NCI CA135866; NSF DBI0845275 |
Acknowledgement requested, Free, Non-commercial | OMICS_00127 | SCR_006445 | SciCrunch Registry | CHASM / SNV-Box, Cancer-specific High-throughput Annotation of Somatic Mutations | 2026-11-07 11:56:09 | 3 | ||||||
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DGIdb Resource Report Resource Website 100+ mentions |
DGIdb (RRID:SCR_006608) | DGIdb | application programming interface, data access protocol, data or information resource, database, software resource | A database of drug-gene relationships that provides drug-gene interactions and potential druggability data given list of genes. There are about 15 data sources that are being aggregated by DGIdb, with update date and these data sources are listed on this page: http://dgidb.genome.wustl.edu/sources, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | drug, gene, interaction, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Washington University in St. Louis; Missouri; USA |
Cancer | NHGRI U54 HG003079 | PMID:24122041 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155686, biotools:DGIdb, OMICS_01579 | https://bio.tools/DGIdb | SCR_006608 | SciCrunch Registry | Drug-Gene Interaction database, Drug Gene Interaction Database | 2026-11-07 11:55:58 | 408 | |||
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UMD p53 Mutation Database Resource Report Resource Website 10+ mentions |
UMD p53 Mutation Database (RRID:SCR_006720) | p53 Database | data or information resource, data processing software, database, software application, software resource | The UMD TP53 Mutation Database is a novel web site exclusively dedicated to mutant TP53. The following datasets, analytical tools and software are available. * The TP53 UMD mutation database in human cancer (2012 release). This novel release (35,000 mutations, 3,600 publications) has been highly curated using an original and novel statistical procedure (See Edlung et al. PNAS 2012). * TP53MUTLOAD (MUTant Loss Of Activity Database), a novel database dedicated to detailed analysis of the properties of each TP53 mutant, ranging from transactivation to cell growth properties, change of conformation, localization or various gains of functions. The database contains more than 110,000 different entries. * TP53 Mut assessor, a novel stand-alone software available for both Windows and Mac users. Check your favorite TP53 mutants and get an instant identity card. Very useful to analyze any newly discovered TP53 mutants, as the software checks for every possible TP53 mutation. * MUT-TP53 2.0, an accurate and powerful tool that automatically manages p53 mutations and generate tables ready for publication, decreasing the risk of typing errors. MUT-TP53 2.0 also provides specific information for each TP53 mutation, allowing the user to assess the quality of the data. Up to 500 TP53 mutations can be managed simultaneously. | cell, dominant, germline, monoclonal, mutant, mutation, oncogene, p53, phylogenetic, polymorphism, prognosis, somatic, suppression, transform, tumor, tumorigenesis, umd, cell line | has parent organization: Karolinska Institute; Stockholm; Sweden | Cancer | Radiumhemmet Research Funds ; Cancerfureningen i Stockholm ; Swedish Cancer Society ; Swedish Research Council ; Swedish Cancer Foundation ; Jeansson Foundation ; Cancer Society in Stockholm ; Lions Cancer Research Fund Uppsala |
PMID:22628563 | Limited: The UMD p53 database is protected by the European Union Council Directive N����?�������� 96/9/EC, OJ (L77) 20 (1996). Extracting, Copying or reuse of data from databases without permission are covered by this directive. | nif-0000-21405 | http://p53.free.fr/Database/p53_database.html | SCR_006720 | SciCrunch Registry | UMD TP53 Mutation Database, UMD p53 Database, TP53 UMD mutation database | 2026-11-07 11:56:16 | 38 | |||
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The Human Protein Atlas Resource Report Resource Website 5000+ mentions |
The Human Protein Atlas (RRID:SCR_006710) | HPA | data or information resource, knowledge base | Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome. | human proteins, human proteome exploration, genome-wide analysis of human proteins, Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction, bio.tools, FASEB list |
is used by: MitoMiner is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: aGEM has parent organization: HUPO Antibody Initiative |
Cancer, Tumor, Breast cancer, Colorectal cancer, Lung cancer, Prostate cancer, Normal | Knut and Alice Wallenberg Foundation | PMID:21139605 PMID:16127175 PMID:18669619 PMID:18853439 |
Public, Free, For informational purposes, Non-commercial, Acknowledgement required | nif-0000-00204, biotools:proteinatlas | https://bio.tools/proteinatlas | SCR_006710 | SciCrunch Registry | HPA antibody, Human Protein Atlas | 2026-11-07 11:56:00 | 9312 | |||
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Cancer Chemoprevention Ontology Resource Report Resource Website |
Cancer Chemoprevention Ontology (RRID:SCR_006966) | CANCO | controlled vocabulary, data or information resource, ontology | A vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain. | owl | is listed by: BioPortal | Cancer | nlx_157350 | SCR_006966 | SciCrunch Registry | 2026-11-07 11:56:06 | 0 | ||||||||
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Human Ageing Genomic Resources Resource Report Resource Website 100+ mentions |
Human Ageing Genomic Resources (RRID:SCR_007700) | HAGR | data or information resource, database, software resource, software toolkit | Collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses. A major resource in HAGR is GenAge, which includes a curated database of genes related to human aging and a database of ageing- and longevity-associated genes in model organisms. Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on aging, longevity, and life history that is ideal for the comparative biology of aging. GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling. Other projects include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed them to identify a set of genes commonly altered during mammalian aging which represents a conserved molecular signature of aging. Software, namely in the form of scripts for Perl and SPSS, is made available for users to perform a variety of bioinformatic analyses potentially relevant for studying aging. The Perl toolkit, entitled the Ageing Research Computational Tools (ARCT), provides modules for parsing files, data-mining, searching and downloading data from the Internet, etc. Also available is an SPSS script that can be used to determine the demographic rate of aging for a given population. An extensive list of links regarding computational biology, genomics, gerontology, and comparative biology is also available. | gene, gerontology, human, model, senescence, genomics, longevity, genetics, perl, spss, demographic analysis, genome, evolution, gene expression, model organism, human aging, dietary restriction, genetic manipulation |
has parent organization: University of Liverpool; Liverpool; United Kingdom is parent organization of: anage is parent organization of: GenAge |
Aging, Cancer | Ellison Medical Foundation ; Wellcome Trust ME050495MES; European Union FP7 Health Research HEALTH-F4-2008-202047 |
PMID:23193293 | GNU General Public License, Creative Commons Attribution v3 Unported License | nif-0000-02938, r3d100011871 | https://doi.org/10.17616/R34W81 | SCR_007700 | SciCrunch Registry | 2026-11-07 11:56:20 | 107 | ||||
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DMI Resource Report Resource Website |
DMI (RRID:SCR_008599) | DMI | software resource | Computational tool developed to help identify cancer-associated ''driver'' mutations from ''passenger'' ones in a cancer genome. | is listed by: OMICtools | Cancer | OMICS_00148 | SCR_008599 | SciCrunch Registry | Driver Mutation Identification | 2026-11-07 11:56:38 | 0 | ||||||||
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Cancer Registry of Norway Resource Report Resource Website 1+ mentions |
Cancer Registry of Norway (RRID:SCR_008879) | Cancer Registry of Norway | institution | Comprises 3 registries of cancer patients in Norway: the Incidence Registry, the Clinical Registry and Cancer Statistics. The Incidence Registry contains the basic data items collected from clinicians and pathologists, as well as from administrative discharge and mortality sources. It is updated continuously with information on both new cases, as well as cases diagnosed in previous years. All medical doctors in the country are instructed by law to notify new cancer cases. Clinical Registries: Registration of treatment and follow-up of Norwegian cancer patients. Clinical registries comprehensive registration schemes dedicated to specific cancers have been established to include detailed information on diagnostic measures, therapy, and follow-up. Cancer Statistics: Database of cancer statistics. The Cancer Registry of Norway is maintained by the Institute of Population-based Cancer Research and established in 1951. It is one of the oldest national cancer registries in the world. This, combined with the unique personal identification number used in Norway, makes the Cancer Registry''s data suitable, also internationally; by establishing new knowledge through research and spreading information on cancer. | is parent organization of: Janus Serum Bank | Cancer, Breast cancer, Cervical cancer, Colorectal cancer, Prostate cancer, Lung cancer, Hereditary cancer, Pediatric solid tumor, Ovarian cancer, Malignant melanoma | grid.418941.1, ISNI: 0000 0001 0727 140X, nlx_149447 | https://ror.org/03sm1ej59 | SCR_008879 | SciCrunch Registry | Cancer Registry of Norway: Institute of Population-based Cancer Research | 2026-11-07 11:56:38 | 6 | |||||||
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UCSF Helen Diller Family Comprehensive Cancer Center Resource Report Resource Website 1+ mentions |
UCSF Helen Diller Family Comprehensive Cancer Center (RRID:SCR_008857) | UCSF Helen Diller Family Comprehensive Cancer Center | data or information resource, portal, topical portal | The UCSF Helen Diller Family Comprehensive Cancer Center combines basic science, clinical research, epidemiology/cancer control, and patient care throughout the University of California, San Francisco. UCSF''s long tradition of excellence in cancer research includes, notably, the Nobel Prize-winning work of J. Michael Bishop and Harold Varmus, who discovered cancer-causing oncogenes. Their work opened new doors for exploring genetic mistakes that cause cancer, and formed the basis for some of the most important cancer research happening today. * Basic Scientific Research: From understanding normal cellular processes and replication to discovering the underlying molecular and genetic causes of cancer when these processes go awry, UCSF researchers are committed to moving scientific insights beyond model systems and pursuing their relevance for clinical oncology and cancer prevention. * Clinical Research: Clinical scientists explore how greater understanding of fundamental biological events can be transformed into clinically relevant tools. New forms of cancer treatment, as well as innovations in diagnosis and prognosis, undergo rigorous evaluation for safety and efficacytranslating into improved patient outcomes and hope for the future. * Patient Care: The Helen Diller Family Comprehensive Cancer Center provides superlative cancer patient care at four San Francisco medical centers: UCSF Medical Center at Mount Zion; UCSF Medical Center at Parnassus; San Francisco General Hospital; and the San Francisco Veterans Affairs Medical Center. * Population Science: Cancer population sciences at UCSF includes a broad range of research on the causes of new cancers and the sickness and death due to the disease in order to develop ways to improve the prevention and early detection of cancer as well as the quality of life following diagnosis and treatment for all of Northern California''s diverse populations. |
has parent organization: University of California at San Francisco; California; USA is parent organization of: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core is parent organization of: UCSF Helen Diller Family Comprehensive Cancer Center Flow and Cell Sorting Core Facility |
Cancer | nlx_149151 | SCR_008857 | SciCrunch Registry | 2026-11-07 11:56:43 | 1 | |||||||||
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Mario Negri Institute for Pharmacological Research; Milan; Italy Resource Report Resource Website |
Mario Negri Institute for Pharmacological Research; Milan; Italy (RRID:SCR_011361) | Mario Negri Institute | institution | A not-for-profit biomedical research institute whose main aim is to help defend human health and life. Research programs span from the molecular level to the whole human being, and the findings help build up the basis for developing new drugs, and making existing ones more effective. The main research headings are the battle against cancer, nervous and mental illnesses, cardiovascular and kidney diseases, rare diseases and the toxic effects of environmental contaminants, mother and child''''s health. The Institute is also involved in research on pain relief and drug addiction. Parallel to its biomedical investigations, the Mario Negri Institute runs training schemes for laboratory technicians and graduate researchers. It takes part in a range of initiatives to communicate information in biomedicine, on a general level and with the specific aims of improving health care practice, and encouraging more rational use of drugs. There are also research units in Bergamo, at Ranica - near Bergamo - and at Santa Maria Imbaro, near Chieti. | is related to: PharmaCog | Cancer, Nervous illness, Mental illnesses, Cardiovascular disease, Kidney disease, Rare disease, Environmental contaminant toxicity | nlx_158317 | SCR_011361 | SciCrunch Registry | Mario Negri Institute for Pharmacological Research, Istituto di Ricerche Farmacologiche Mario Negri, Mario Negri Istituto di Ricerche Farmacologiche | 2026-11-07 11:57:20 | 0 | ||||||||
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Osaka Medical Center for Cancer and Cardiovascular Diseases; Osaka; Japan Resource Report Resource Website |
Osaka Medical Center for Cancer and Cardiovascular Diseases; Osaka; Japan (RRID:SCR_011477) | OMCCCD | institution | Center for cancer and cardiovascular diseases with a focus on advanced cancer therapy in the Kansai area. It consists of the Hospital, the Research Institute, and the Department of Cancer Control and Statistics. The Research Institute is responsible for acquiring and applying knowledge of the molecular and genetic aspects of human cancer. The mission of the Research Institute is to perform basic and applied cancer research through collaboration with the Hospital and the Department of Cancer Control and Statistics. The large tumor tissue collection is the major focus of their research efforts. The Research Institute includes seven official departments: Biology, Biochemistry, Pathology, Molecular Medicine & Pathophysiology, Molecular Biology, Molecular Genetics, and Immunology. In addition, a group conducted by the Director (Director''s Unit) and Laboratory of Genome Informatics. The research objectives are as follows. # Clinical research. ## Prognosis predictor of gliomas based on gene expression profiling ## Targeted oncolytic virus # Technical developments for cancer research ## A new method for storing cancer cells taken from human tumor tissues (cancer tissue-originated spheroid) ## Bioinformatics for personalized genomics # Basic research ## Mechanism of metastasis ## Low oxygen environment and cancer ## Structure analysis of oligosaccharide on human cancer cells ## Proof-of-principle study of artificial adjuvants | is parent organization of: Brain Gene Expression Database | Cancer, Cardiovascular disease | nlx_66393 | SCR_011477 | SciCrunch Registry | 2026-11-07 11:57:12 | 0 | |||||||||
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CPTAC Resource Report Resource Website 100+ mentions |
CPTAC (RRID:SCR_017135) | consortium, data or information resource, disease-related portal, organization portal, portal, topical portal | Clinical proteomic tumor analysis consortium to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, in order to understand molecular basis of cancer that is not possible through genomics and to accelerate translation of molecular findings into clinic. Operates through Proteome Characterization Centers, Proteogenomic Translational Research Centers, and Proteogenomic Data Analysis Centers. CPTAC investigators collaborate, share data and expertise across consortium, and participate in consortium activities like developing standardized workflows for reproducible studies. | identify, protein, alteration, cancer, genome, clinical, study, proteome, proteogenomic, tumor, data, analysis, consortium, reproducibility | has parent organization: National Cancer Institute | cancer | SCR_017135 | SciCrunch Registry | Clinical Proteomic Tumor Analysis Consortium | 2026-11-07 11:58:45 | 213 |
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