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http://epi.grants.cancer.gov/CFR/
The Breast Cancer Family Registry (Breast CFR) and the Colon Cancer Family Registry (Colon CFR) were established by the National Cancer Institute (NCI) as a unique resource for investigators to use in conducting studies on the genetics and molecular epidemiology of breast and colon cancer. Known collectively as the CFRs, they share a central goal: the translation of research to the clinical and prevention settings for the benefit of Registry participants and the general public. The CFRs are particularly interested in: * Identifying and characterizing cancer susceptibility genes; * Defining gene-gene and gene-environment interactions in cancer etiology; and * Exploring the translational, preventive, and behavioral implications of research findings. The CFRs do not provide funding for studies; however, researchers can apply to access CFR data and biospecimens contributed by thousands of families from across the spectrum of risk for these cancers and from population-based or relative controls. Special features of the CFRs include: * Population-based and clinic-based ascertainment; * Systematic collection of validated family history; * Epidemiologic risk factor , clinical, and followup data; * Biospecimens (including tumor blocks and Epstein-Barr virus (EBV)-transformed cell lines); * Ongoing molecular characterization of the participating families; and * A combined informatics center.
Proper citation: NCI Breast and Colon Cancer Family Registries (RRID:SCR_006664) Copy
http://ercsb.ewha.ac.kr:8080/FusionGene/
Knowledgebase of fusion transcripts collected from various public resources such as the Sanger CGP, OMIM, PubMed, and Mitelman's database. It is an alignment viewer to facilitate examining reliability of fusion transcripts and inferring functional significance., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ChimerDB (RRID:SCR_007596) Copy
http://cahub.cancer.gov/about/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. A national center for biospecimen science and standards to advance cancer research and treatment. It was created in response to the critical and growing need for high-quality, well-documented biospecimens for cancer research. The initiative builds on resources already developed by the NCI, including the Biospecimen Research Network and the NCI Best Practices for Biospecimen Resources, both of which were developed to address challenges around standardization of the collection and dissemination of quality biospecimens. caHUB will develop the infrastructure for collaborative biospecimen research and the production of evidence-based biospecimen standard operating procedures.
Proper citation: caHUB (RRID:SCR_009657) Copy
Initiative to enable cancer discovery and treatment based on complete elucidation of molecular networks underlying cancer. CCMI leverages advanced interaction mapping and computational facilities to generate and analyze cancer networks.
Proper citation: Cancer Cell Map Initiative (RRID:SCR_023043) Copy
Medical wiki of interventions, regimens, and general information relevant to fields of hematology and oncology. Knowledge base for hematology and oncology providers, containing details about hematology/oncology drugs and treatment regimens. Any healthcare professional can sign up to contribute. Acuracy and completeness of content is overseen by Editorial Board.
Proper citation: HemOnc Knowledgebase (RRID:SCR_023436) Copy
https://grail.com/clinical-studies/ccga-study/
Prospective, observational, longitudinal, study designed to characterize landscape of genomic cancer signals in blood of people with and without cancer. Sudy includes people in the USA and Canada who had cancer at the time of enrollment, newly diagnosed, and not yet received treatment, and people who did not have known cancer diagnosis.
Proper citation: Circulating Cell-free Genome Atlas project (RRID:SCR_023878) Copy
https://seer.cancer.gov/statfacts/
Collection of statistical summaries for number of common cancer types. They were developed to provide quick overview of frequently requested cancer statistics. Available statistics may include incidence, mortality, survival, stage, prevalence, and lifetime risk. Links to additional resources from NCI including risk factors, treatment, and clinical trials are also provided. The statistics will be updated annually to coincide with the SEER data release.
Proper citation: National Cancer Institute Cancer Statistics Cancer Stat Facts (RRID:SCR_024437) Copy
https://seer.cancer.gov/siterecode/icdo3_dwhoheme/index.html
Website describing International Classification of Diseases-Oncology codes that corresponds to different cancer sites in the Surveillance, Epidemiology, and End Results (SEER) registry.
Proper citation: NCI Site Recode ICD-O-3/WHO 2008 Definition (RRID:SCR_024687) Copy
Portal to make cancer related proteomic datasets easily accessible to public. Facilitates multiomic integration in support of precision medicine through interoperability with other resources. Developed to advance our understanding of how proteins help to shape risk, diagnosis, development, progression, and treatment of cancer. One of several repositories within NCI Cancer Research Data Commons which enables researchers to link proteomic data with other data sets (e.g., genomic and imaging data) and to submit, collect, analyze, store, and share data throughout cancer data ecosystem. PDC provides access to highly curated and standardized biospecimen, clinical, and proteomic data, intuitive interface to filter, query, search, visualize and download data and metadata. Provides common data harmonization pipeline to uniformly analyze all PDC data and provides advanced visualization of quantitative information. Cloud based (Amazon Web Services) infrastructure facilitates interoperability with AWS based data analysis tools and platforms natively. Application programming interface (API) provides cloud-agnostic data access and allows third parties to extend functionality beyond PDC. Structured workspace that serves as private user data store and also data submission portal. Distributes controlled access data, such as patient-specific protein fasta sequence databases, with dbGaP authorization and eRA Commons authentication.
Proper citation: Proteomic Data Commons (RRID:SCR_018273) Copy
https://portal.imaging.datacommons.cancer.gov
Portal for finding and analyzing cancer imaging data. Part of Cancer Research Data Commons to support cancer imaging research. Provides cloud based access to medical imaging data and library of analytical tools and workflows to share, analyze, and visualize multi modal imaging data from both clinical and basic cancer research studies.
Proper citation: NCI Imaging Data Commons (RRID:SCR_019127) Copy
https://datacommons.cancer.gov
Cloud based data science infrastructure that provides secure access to cancer research data from NCI programs and key external cancer programs. Serves as coordinated resource for public data sharing of NCI funded programs. Users can explore and use analytical and visualization tools for data analysis. Enables to search and aggregate data across repositories including Cancer Data Service, Clinical Trial Data Commons, Genomic Data Commons, Imaging Data Commons, Integrated Canine Data Commons, Proteomic Data Commons.
Proper citation: Cancer Research Data Commons (RRID:SCR_019128) Copy
http://thelongevityfoundation.org/
Funding resource that supports research into A-T (Ataxia Telangiectasia) and other debilitating, degenerative diseases plaguing human kind, including cancer and neuro-degeneration associated with auto-immunity and aging. Researchers share their findings and collaborate with each other. The research must lead to practical, near-term treatments and cures to receive funds. The researchers have found treatments and cures that are the first of their kind in the world. Over $850,000 in direct research grants have been made. These grants have leveraged over $9 million in research resources contributed by partner institutions. We pay the research institutions for direct costs only. We pay no administrative, indirect, or overhead costs.
Proper citation: Longevity Foundation (RRID:SCR_006338) Copy
http://www.uni-koeln.de/med-fak/cgars/
Software package to dissect random from non-random patterns in copy number data and thereby to assess significantly enriched somatic copy number aberrations (SCNA) across a set of tumor specimens or cell lines.
Proper citation: CGARS (RRID:SCR_006404) Copy
http://bioinf.wehi.edu.au/socrates/
Software for detecting genomic rearrangements in tumors that utilizes only split-read data. It features single nucleotide resolution, high sensitivity, and high specificity in simulated data. It takes advantage of parallelism for efficient use of resources.
Proper citation: Socrates (RRID:SCR_006411) Copy
Statistical software to estimate tumor purity, ploidy and absolute copy numbers from next generation sequencing data.
Proper citation: AbsCN-seq (RRID:SCR_006409) Copy
http://lincs.hms.harvard.edu/db/
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.
Proper citation: HMS LINCS Database (RRID:SCR_006454) Copy
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
Proper citation: Congressionally Directed Medical Research Program (RRID:SCR_006456) Copy
http://wiki.chasmsoftware.org/index.php/Main_Page
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.
Proper citation: CHASM/SNV-Box (RRID:SCR_006445) Copy
http://bg.upf.edu/transfic/home
A method to transform Functional Impact scores taking into account the differences in basal tolerance to germline SNVs of genes that belong to different functional classes.
Proper citation: TransFIC (RRID:SCR_010788) Copy
http://www.marionegri.it/mn/en/
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.
Proper citation: Mario Negri Institute for Pharmacological Research; Milan; Italy (RRID:SCR_011361) Copy
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