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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Jackson Laboratory Clinical Knowledgebase Resource Report Resource Website 10+ mentions |
Jackson Laboratory Clinical Knowledgebase (RRID:SCR_014965) | CKB | data or information resource, database | Semi-automated and manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and oncology clinical trials. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. | cancer, database, knowledgebase, clinical trial, clinical, gene, gene annotation, variant annotation, therapy, diagnosis | Cancer | PMID:26772741 | Available to the research community, For educational and research purposes only, Not intended to be used for medical advice/diagnosis or treatment | SCR_014965 | Jackson CKB | 2026-02-14 02:06:52 | 27 | |||||||
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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 | CHASM / SNV-Box, Cancer-specific High-throughput Annotation of Somatic Mutations | 2026-02-15 09:19:15 | 3 | ||||||
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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, topical portal, 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 | 2026-02-16 09:47:17 | 1 | |||||||||
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Duke Cancer Institute Resource Report Resource Website 1+ mentions |
Duke Cancer Institute (RRID:SCR_004338) | DCI | data or information resource, topical portal, portal | One of 40 centers in the country designated by the National Cancer Institute (NCI) as a comprehensive cancer center, it combines cutting-edge research with compassionate care. Its vision is to accelerate research advances related to cancer and improve Duke''s ability to translate these discoveries into the most advanced cancer care to patients by uniting hundreds of cancer physicians, researchers, educators, and staff across the medical center, medical school, and health system under a shared administrative structure. | cancer, patient, research, clinical trial |
is related to: Biospecimen Repository and Processing Core has parent organization: Duke University School of Medicine; North Carolina; USA is parent organization of: DCI Tissue and Blood Procurement Shared Resource |
Cancer | NCI | nlx_143695 | http://www.cancer.duke.edu/ | SCR_004338 | Duke Cancer Institute: A National Cancer Institute-designated Comprehensive Cancer Center | 2026-02-16 09:46:18 | 1 | |||||
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Lyonbiopole Resource Report Resource Website |
Lyonbiopole (RRID:SCR_003733) | Lyonbiopole | data or information resource, portal, organization portal, funding resource | A worldwide competitiveness cluster centered on pharmaceutical activities including the fight against human and animal infectious diseases and cancers. Designed as a tool interface and public / private approximation, the division has implemented measures to encourage collaborative R & D, help in setting up projects and find funding, increase strategic and financial partnerships for economic development and international companies, provide access to reception areas, technological shared platforms such as the Infectious Diseases Center Lyonbiop��le. It aims to strengthen the competitiveness of the sector health and the attractiveness of the Rh��ne-Alpes area, mainly on the Lyon-Grenoble axis. (adapted from the translated Wikipedia) | vaccine, diagnostic, pharmaceutical, drug, prevention, treatment | Infectious disease, Cancer | nlx_157924 | SCR_003733 | Lyonbiop��le, Lyon Biopole | 2026-02-17 10:00:17 | 0 | ||||||||
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Structural Genomics Consortium Resource Report Resource Website 50+ mentions |
Structural Genomics Consortium (RRID:SCR_003890) | SGC | data or information resource, portal, organization portal, consortium | Charity registered in United Kingdom whose mission is to accelerate research in new areas of human biology and drug discovery.Not for profit, public-private partnership that carries out basic science of relevance to drug discovery whose core mandate is to determine 3D structures on large scale and cost effectively targeting human proteins of biomedical importance and proteins from human parasites that represent potential drug targets. | basic science, drug discovery, drug, structural genomics, genomics, 3d structure, protein, human parasite, drug target, structure, human protein, protocol, phylogenetic tree, histone tail, high-throughput protein crystallization, lex bubbling system, reagent, epigenetic probe, antibody, vector, plasmid, construct |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Addgene uses: GenBank is related to: AbbVie is related to: Canada Foundation for Innovation is related to: Canadian Institutes of Health Research is related to: Genome Canada is related to: Janssen Research and Development is related to: Ontario Ministry of Economic Development Employment and Infrastructure is related to: Pfizer Animal Genetics is related to: Wellcome Trust has parent organization: University of Oxford; Oxford; United Kingdom has parent organization: University of Toronto; Ontario; Canada |
Cancer, Diabetes, Obesity, Psychiatric disorder, Altzheimer | AbbVie ; Boehringer Ingelheim ; Canada Foundation for Innovation ; Canadian Institutes of Health Research ; Genome Canada ; GlaxoSmithKline ; Janssen ; Lilly Canada ; Novartis Research Foundation ; Ontario Ministry of Economic Development Employment and Infrastructure ; Pfizer ; Takeda ; Wellcome Trust |
Restricted | nlx_158220 | SCR_003890 | Structural Genomics Consortium | 2026-02-17 10:00:08 | 61 | |||||
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EORTC Clinical Trials Resource Report Resource Website |
EORTC Clinical Trials (RRID:SCR_004011) | clinical trial, catalog, database, data or information resource | A database that contains information about EORTC (European Organisation for Research and Treatment of Cancer) clinical trials but also clinical trials from other organizations, in which EORTC has been/is participating. The protocol database may be browsed by EORTC Research Group, tumor site, treatment, or drug. | clinical, protocol | has parent organization: EORTC | Cancer | nlx_158511 | SCR_004011 | European Organisation for Research and Treatment of Cancer Clinical trials, EORTC protocol database | 2026-02-17 10:00:32 | 0 | ||||||||
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Nutrition and Obesity Research Centers Resource Report Resource Website 10+ mentions |
Nutrition and Obesity Research Centers (RRID:SCR_004131) | NORC | organization portal, data or information resource, topical portal, resource, disease-related portal, portal | Portal to research centers and core facilities specifically support obesity research and better understand the relationship between health and nutrition. | obesity core facility, obesity portal, obesity research center |
is listed by: NIDDK Information Network (dkNET) is listed by: Diabetes Research Centers is affiliated with: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases has organization facet: Boston Nutrition and Obesity Research Centers has organization facet: Nutrition and Obesity Research Centers at Harvard has organization facet: Mid-Atlantic Nutrition Obesity Research Center has organization facet: New York Obesity Nutrition Research Center has organization facet: Pennington Biomedical Research Center Nutrition and Obesity Research Center has organization facet: University of Alabama at Birmingham Nutrition and Obesity Research Center has organization facet: University of California San Francisco Nutrition and Obesity Research Center has organization facet: University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center has organization facet: University of Michigan Nutrition and Obesity Research Center has organization facet: University of North Carolina at Chapel Hill Nutrition and Obesity Research Center has organization facet: University of Washington Nutrition and Obesity Research Center has organization facet: Washington University St. Louis Nutrition Obesity Research Center |
Obesity, Nutrition-related disease, Eating disorder, Anorexia nervosa, AIDS, Cancer | NIDDK RFA-DK16-006 | Available to the research community | nlx_158684 | SCR_004131 | 2026-02-17 10:00:24 | 40 | ||||||
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Stem Cell Discovery Engine Resource Report Resource Website 50+ mentions |
Stem Cell Discovery Engine (RRID:SCR_004453) | SCDE | storage service resource, data or information resource, production service resource, analysis service resource, database, service resource, software resource, source code, data repository | An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket. | stem cell, analysis, cancer stem cell, galaxy, gene, pathway, molecular signature, tissue, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Galaxy is related to: Galaxy is related to: ISA Infrastructure for Managing Experimental Metadata has parent organization: Harvard T.H. Chan School of Public Health |
Cancer | NCI 1RC2CA148222-01 | PMID:22121217 | Free, The community can contribute to this resource | biotools:scde_discovery, nlx_44656 | https://bio.tools/scde_discovery | SCR_004453 | Harvard Stem Cell Discovery Engine, SCDE - Stem Cell Discovery Engine | 2026-02-17 10:00:16 | 57 | |||
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Cancer Chemoprevention Ontology Resource Report Resource Website |
Cancer Chemoprevention Ontology (RRID:SCR_006966) | CANCO | data or information resource, ontology, controlled vocabulary | 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 | 2026-02-17 10:01:01 | 0 | ||||||||
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Human Ageing Genomic Resources Resource Report Resource Website 50+ 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 | 2026-02-17 10:01:17 | 67 | ||||
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HMS LINCS Database Resource Report Resource Website 10+ mentions |
HMS LINCS Database (RRID:SCR_006454) | LINCS, HMS-LINCS, HMS LINCS | storage service resource, data or information resource, database, service resource, data repository | 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 | NIH Common Fund ; NHGRI U54 HG006097 |
Available to the research community | nlx_156062, r3d100011833 | http://lincs.hms.harvard.edu/ https://doi.org/10.17616/R3ZK9R |
SCR_006454 | NIH LINCS Program, NIH LINCS, Harvard Medical School LINCS Database, LINCS Program, Library of Integrated Network-based Cellular Signatures | 2026-02-17 10:00:52 | 11 | ||||
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DGIdb Resource Report Resource Website 100+ mentions |
DGIdb (RRID:SCR_006608) | DGIdb | data access protocol, application programming interface, 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 | Drug-Gene Interaction database, Drug Gene Interaction Database | 2026-02-17 10:00:55 | 353 | |||
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UMD p53 Mutation Database Resource Report Resource Website 10+ mentions |
UMD p53 Mutation Database (RRID:SCR_006720) | p53 Database | software application, data or information resource, data processing software, database, 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 | UMD TP53 Mutation Database, UMD p53 Database, TP53 UMD mutation database | 2026-02-17 10:00:59 | 35 | |||
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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 | HPA antibody, Human Protein Atlas | 2026-02-17 10:01:06 | 7492 | |||
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University of Rochester Program for Brain Tumors and Spinal Tumors Resource Report Resource Website |
University of Rochester Program for Brain Tumors and Spinal Tumors (RRID:SCR_005343) | URMC Program for Brain and Spinal Tumors, | biomaterial supply resource, tissue bank, brain bank, material resource | Collaborative neuro-oncology research program with a tissue repository (tumor bank) containing a wide range of clinical specimens, which they make available to researchers in order to study the effects of new drugs on a large number and wide range of tumor specimens. They provide highly coordinated, complex care in neurosurgery, radiation oncology, medical oncology, and neurology to patients afflicted with tumors of the brain and spine by combining the newest technologies and treatments available anywhere in the world. The program is formed from a multidisciplinary group with a goal of helping patients navigate the complex issues surrounding brain and spinal cancer care. The researchers are working to increase the number of targets that could be considered for anti-angiogenesis therapy. Many of their studies focus on the blood vessel cells (endothelial cells) themselves, which, unlike tumor cells, rarely mutate and so might be less likely to become resistant to therapy and are also more easily reached through the bloodstream. Their researchers are also attempting to better understand the changes in the blood-brain barrier (BBB) that are associated with fluid accumulation and brain swelling (edema) in neuro-oncology patients. Normal brain tissue is shielded from the rest of the body by the BBB. This barrier is composed of very tight blood vessels that prevent most substances from entering the brain. Brain tumors have a leaky BBB ����?? this feature can be used to identify tumors on MRI scans. They have identified specific molecules that appear to be associated with the leaky, abnormal vessels while the normal blood vessels with intact BBB produce these molecules at very low levels or not at all. Inhibiting the function of these molecules may help control or prevent disruption of the BBB and limit cerebral edema in brain tumor patients, as well as patients suffering from stroke or traumatic brain injury. | brain tissue, brain, tissue, spine, spinal tumor, brain tumor, tumor, cancer, normal control, clinical trial, treatment, acoustic neuroma, anaplastic astrocytoma, brain metastases, brain stem glioma, chordoma, cns lymphoma, craniopharyngioma, ependymoma, gliomatosis cerebri, glioblastoma, low grade glioma, meningioma, medulloblastoma, oligodendroglioma, pineal tumor, pilocytic astrocytoma, pituitary adenoma, premature neuroectodermal tumor, oncology, neurooncology, stroke, traumatic brain injury, cerebral edema | is listed by: One Mind Biospecimen Bank Listing | Tumor, Brain tumor, Cancer, Spinal tumor, Normal control | Available to researchers - not clear if internally or if provide specimens to the public | nlx_144398 | http://www.urmc.rochester.edu/neurosurgery/neurooncology/overview/research/ | SCR_005343 | University of Rochester Brain Tumor and Spinal Tumor Program | 2026-02-17 10:00:32 | 0 | |||||
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UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core Resource Report Resource Website |
UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core (RRID:SCR_005701) | UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core | training service resource, production service resource, analysis service resource, service resource, data analysis service | The Biostatistics Core provides statistical support for cancer-related research at UCSF, focusing particulary on applications in clinical trials and population studies. The Computational Biology Core supports applications to genomics, genetics and molecular biology. Core faculty have expertise in study design, protocol and proposal development and review, data analysis, and publication of results. Support for Cancer Center investigators participating in established Site Committees is typically handled by the faculty member assigned to that committee. Other requests can be directed to the consulting service request page maintained by the UCSF Clinical & Translational Science Institute (CTSI). These requests will then be assigned to a Core faculty member. Basic consulting services are generally provided free of charge to Cancer Center Members. Members requiring frequent assistance are encouraged to provide regular salary support to a Core statistician when possible to support more extensive requests and for long-term projects. Services: * Study Design * Guidance on Study Conduct * Data Analysis and Reporting of Study Results * Teaching resources |
has parent organization: UCSF Helen Diller Family Comprehensive Cancer Center is parent organization of: EGAN: Exploratory Gene Association Networks |
Cancer | nlx_149150 | http://cancer.ucsf.edu/cores/biostatistics/index.php | SCR_005701 | UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Computational Biology Core, UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics and Computational Biology Core | 2026-02-17 10:00:48 | 0 | |||||||
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Research Accelerator Resource Report Resource Website 1+ mentions |
Research Accelerator (RRID:SCR_006051) | UCSD Research Accelerator | community building portal, data or information resource, database, service resource, portal | Software platform that allows researchers to easily collaborate on research and share reagents, antibodies, cell lines and more. It is designed to increase scientific collaboration across disciplines and geographical boundaries. Among the institutions now using the platform include Yale University, U of Pennsylvania, U of Chicago, Washington U, Cambridge University, University College London. The platform is licensed to select institutions. ResearchAccelerator.org allows researchers to form targeted, data driven collaborations. Researchers can search for data based on gene, disease and pathway, and they can post data which would otherwise be orphaned. The resulting collaborations, which are likely to be transdisciplinary, can greatly amplify impact and research productivity. | collaboration, transdisciplinary research, gene, pathway, disease, cell line, data, human sample, laboratory protocol, medical device, equipment, resource, reagent, research project, transgenic animal, knock out animal, validated antibody, yale keck proteomics assay, allergy, immunology, bone, joint, orthopedic, cancer, cardiovascular, gastroenterology, infectious disease, neurologic disease, organ transplantation, psychiatric disease, reproductive disease, vascular disease, sharing, material resource |
is used by: University College London; London; United Kingdom is used by: University of Cambridge; Cambridge; United Kingdom is used by: Washington University in St. Louis; Missouri; USA is used by: University of Chicago; Illinois; USA is used by: University of Pennsylvania; Philadelphia; USA is used by: Yale University; Connecticut; USA has parent organization: University of California at San Diego; California; USA |
Allergy, Immunology, Bone, Joint, Orthopedic, Cancer, Cardiovascular, Gastroenterology, Infectious Disease, Neurologic disease, Organ Transplantation, Psychiatric disease, Reproductive disease, Vascular disease | The community can contribute to this resource | nlx_151451 | SCR_006051 | ResearchAccelerator.org, ResearchAccelerator | 2026-02-17 10:00:44 | 1 | ||||||
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Cancer Imaging Archive (TCIA) Resource Report Resource Website 100+ mentions |
Cancer Imaging Archive (TCIA) (RRID:SCR_008927) | TCIA | storage service resource, data or information resource, catalog, database, service resource, data set, data repository, image repository | Archive of medical images of cancer accessible for public download. All images are stored in DICOM file format and organized as Collections, typically patients related by common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Neuroimaging data sets include clinical outcomes, pathology, and genomics in addition to DICOM images. Submitting Data Proposals are welcomed. | dicom, imaging, ct, pet, pt, x-ray, mri, magnetic resonance, medical, clinical, research, clinical neuroinformatics, computed tomography, dicom, imaging genomics, magnetic resonance, pet, spect, test data, web service, image collection, image, FASEB list |
is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing is affiliated with: BraTumIA (Brain Tumor Image Analysis) is related to: NIH Data Sharing Repositories is related to: NCI Imaging Data Commons has parent organization: Frederick National Laboratory for Cancer Research has parent organization: NCI-Frederick |
Cancer | NCI | Restricted | DOI:10.25504/FAIRsharing.jrfd8y, DOI:10.17616/R3NH0V, DOI:10.7937, nlx_151749, r3d100011559 | http://www.nitrc.org/projects/tcia http://www.cancerimagingarchive.net/ http://www.cancerimagingarchive.net/primary-data/ https://wiki.cancerimagingarchive.net/display/Public/Collections https://doi.org/10.17616/R3NH0V https://doi.org/10.17616/r3NH0V https://doi.org/10.7937/ https://dx.doi.org/10.7937/ https://fairsharing.org/10.25504/FAIRsharing.jrfd8y https://doi.org/10.17616/R3NH0V https://doi.org/10.17616/R3NH0V |
SCR_008927 | TCIA, Cancer Imaging Archive, The Cancer Imaging Archive (TCIA), Cancer Imaging Archive (TCIA), The Cancer Imaging Archive | 2026-02-17 10:01:27 | 287 | ||||
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NanoParticle Ontology Resource Report Resource Website 1+ mentions |
NanoParticle Ontology (RRID:SCR_010369) | NPO | data or information resource, ontology, controlled vocabulary | An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy. | owl | is listed by: BioPortal | Cancer | nlx_157497 | http://www.nano-ontology.org | SCR_010369 | 2026-02-17 10:01:43 | 1 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
