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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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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 | SciCrunch Registry | NCIBI | 2026-10-24 12:44:33 | 1 | |||||
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BC Cancer Foundation Resource Report Resource Website 1+ mentions |
BC Cancer Foundation (RRID:SCR_006428) | BC Cancer Foundation | institution | The fundraising partner of the BC Cancer Agency and the largest charitable funder of cancer research in this province. We enable donors to make contributions to leading-edge research that has a direct impact on improvements to cancer care for patients in British Columbia. By connecting philanthropy and research, we support the revolutionary advances that will help us achieve our vision of a world free from cancer. Our Cause: Supporting world-renowned cancer research in BC One in three British Columbians will be diagnosed with cancer in their lifetime. Because the BC Cancer Agency integrates research and treatment, the process from discovery to treatment is shorter, and researchers are asking questions focused on the needs of patients in BC. The BC Cancer Agency excels at translating exciting discoveries from the researcher''''s bench to the patient''''s bedside. This is the quickest and most effective way to impact cancer care, and it makes the Agency an international leader in cancer research. Our Donors: Leading the way in helping us advance our cause Our unique relationship with the BC Cancer Agency allows our donors to be part of research discoveries made right here in BC. We invite donors to become more connected to the BC Cancer Agency''''s world-leading research that is shaping the future of patient care. At the BC Cancer Foundation we are funding the areas of greatest priority and promise. We know, because we ask the scientists and clinicians at the BC Cancer Agency to identify the priorities and needs that will have the most significant and timely impact on cancer care and treatment. We then partner with our donors to raise the necessary funds in support of this life-saving work. Together we are funding and finding solutions that are having a direct impact on improving care for cancer patients in British Columbia. | british columbia, research | is related to: BC Cancer Agency | Cancer | nlx_151770, ISNI 0000 0001 0745 6244, grid.484001.9 | https://ror.org/03gqhbs95 | SCR_006428 | SciCrunch Registry | 2026-10-24 12:45:44 | 4 | |||||||
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canSAR Resource Report Resource Website 50+ mentions |
canSAR (RRID:SCR_006794) | canSAR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | 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 | SciCrunch Registry | 2026-10-24 12:45:52 | 56 | ||||
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Surveillance Epidemiology and End Results Resource Report Resource Website 5000+ mentions |
Surveillance Epidemiology and End Results (RRID:SCR_006902) | SEER | data or information resource, data set, database, narrative resource, report | 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, r3d100010884 | SCR_006902 | SciCrunch Registry | Surveillance Epidemiology and End Results (SEER) Program, Surveillance Epidemiology End Results, Surveillance Epidemiology End Results (SEER) Program | 2026-10-24 12:45:54 | 6215 | ||||||
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SamSPECTRAL Resource Report Resource Website 1+ mentions |
SamSPECTRAL (RRID:SCR_001858) | software resource | Software that identifies cell population in flow cytometry data. It demonstrates significant advantages in proper identification of populations with non-elliptical shapes, low density populations close to dense ones, minor subpopulations of a major population and rare populations. It samples large data such that spectral clustering is possible while preserving density information in edge weights. More specifically, given a matrix of coordinates as input, SamSPECTRAL first builds the communities to sample the data points. Then, it builds a graph and after weighting the edges by conductance computation, the graph is passed to a classic spectral clustering algorithm to find the spectral clusters. The last stage of SamSPECTRAL is to combine the spectral clusters. The resulting connected components estimate biological cell populations in the data sample. | software package, mac os x, unix/linux, windows, r, cell biology, clustering, flow cytometry, stem cell, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bioconductor |
Cancer, HIV | PMID:20667133 | Free, Available for download, Freely available | OMICS_05638, biotools:samspectral | https://bio.tools/samspectral | SCR_001858 | SciCrunch Registry | SamSPECTRAL - Identifies cell population in flow cytometry data | 2026-10-24 12:44:37 | 4 | |||||
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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 | SciCrunch Registry | Adaptive Crawler, Smart Web Crawler | 2026-10-24 12:44:19 | 0 | |||||
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QuadGT Resource Report Resource Website 1+ mentions |
QuadGT (RRID:SCR_000073) | QuadGT | software resource | Software package for calling single-nucleotide variants in four sequenced genomes comprising a normal-tumor pair and the two parents. Genotypes are inferred using a joint model of parental variant frequencies, de novo germline mutations, and somatic mutations. The model quantifies the descent-by-modification relationships between the unknown genotypes by using a set of parameters in a Bayesian inference setting. Note that you can use it on any subset of the four related genomes, including parent-offspring trios, and normal-tumor pairs without parental samples. | single-nucleotide variant, sequenced genome, genotype, genome |
is listed by: OMICtools has parent organization: University of Montreal; Quebec; Canada |
Normal, Tumor, Cancer | Canada National Sciences and Engineering Research Council ; Canadian Institutes for Health Research ; Terry Fox Research Institute |
PMID:23734724 | Free, Available for download, Freely available | OMICS_02108 | SCR_000073 | SciCrunch Registry | 2026-10-24 12:44:06 | 1 | |||||
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nFuse Resource Report Resource Website 1+ mentions |
nFuse (RRID:SCR_000066) | nFuse | software resource | Software that predicts fusion transcripts and associated CGRs from matched RNA-seq and Whole Genome Shotgun Sequencing (WGSS). | cancer, genomics |
is listed by: OMICtools is listed by: Google Code has parent organization: Simon Fraser University; British Columbia; Canada |
Cancer | PMID:22745232 | Free, Available for download, Freely available, | OMICS_01353 | SCR_000066 | SciCrunch Registry | nFuse: Discovery of Complex Genomic Rearrangements in Cancer | 2026-10-24 12:44:06 | 2 | |||||
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ARIAD Resource Report Resource Website 50+ mentions |
ARIAD (RRID:SCR_008559) | ARIAD | material service resource, production service resource, reagent manufacture, 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 | SciCrunch Registry | ARIAD Pharmaceuticals | 2026-10-24 12:46:07 | 55 | |||||
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FISH Oracle Resource Report Resource Website |
FISH Oracle (RRID:SCR_010927) | FISH Oracle | data or information resource, database, software resource | A web-based software tool for the integrative analysis of cancer genomics data. It stores different kinds of downstream processed data from multiple samples in a single database. A powerful search interface allows to dynamically filter the data to be displayed with respect to different criteria. The combination of AJAX technology and a fast visualization engine facilitates a highly dynamic visualization for large amounts of data. FISH Oracle 2 is able to simultaneously display different data sets, thus simplifying their comparison. Filter and display options can be changed on the fly. High quality image export enables the life scientist to easily communicate the results, e.g. in presentations or publications. A comprehensive data administration assures to keep track of the data stored in the database. | array cgh, snp, genomics, visualization |
is listed by: OMICtools has parent organization: University of Hamburg; Hamburg; Germany |
Cancer | PMID:21884636 | OMICS_00721 | SCR_010927 | SciCrunch Registry | 2026-10-24 12:46:26 | 0 | |||||||
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Terry Fox Research Institute Resource Report Resource Website 1+ mentions |
Terry Fox Research Institute (RRID:SCR_011568) | TFRI | institution | Launched in October 2007, TFRI is the brainchild of the Terry Fox Foundation. TFRI involves collaboration between cancer hospitals and research organizations across Canada, and will occur initially in British Columbia, Alberta, Ontario and Quebec. TFRI will support translational cancer research projects with the potential to significantly improve the health of cancer patients. TFRI is organized into functionally integrated yet geographically dispersed nodes. Regional cancer hospitals and research organizations participate in each node by providing space for researchers and by arranging for the participation of cancer patients in research projects. At each node, two node co-ordinators provide leadership, and bring together local scientific and clinical research teams to propose and manage specific projects. The TFRI headquarters team liaises with the TFRI nodes and provides direction, co-ordination and facilitates communication across the entire organization. The Terry Fox Foundation has committed a minimum of $50 million (CAN) over five years from donations obtained during the 25th anniversary of the Terry Fox Marathon of Hope and from new funds anticipated and those raised since 2005. Other partners sharing the same vision are being sought who will be asked to commit additional resources to support the ongoing work of the TFRI. | has parent organization: Terry Fox Foundation | Cancer | grid.489333.6, nlx_149428 | https://ror.org/00mtf6c40 | SCR_011568 | SciCrunch Registry | 2026-10-24 12:46:36 | 3 | ||||||||
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NIH NCI list of FDA approved cancer drugs Resource Report Resource Website 10+ mentions |
NIH NCI list of FDA approved cancer drugs (RRID:SCR_021841) | data or information resource, disease-related portal, portal, topical portal | Portal to find consumer friendly information about drugs for cancer and conditions related to cancer. The list is in alphabetical order by generic name and brand name. | drugs for cancer, conditions related to cancer, alphabetical order, generic name, brand name | cancer | Free, Available for download, Freely available | SCR_021841 | SciCrunch Registry | 2026-10-24 12:48:59 | 16 | ||||||||||
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TumorSim Resource Report Resource Website 1+ mentions |
TumorSim (RRID:SCR_002604) | simulation software, software application, software resource | Simulation software that generates pathological ground truth from a healthy ground truth. The software requires an input directory that describes a healthy anatomy (anatomical probabilities, mesh, diffusion tensor image, etc) and then outputs simulation images. | clinical neuroinformatics, magnetic resonance, mri, brain, segmentation, simulation, tumor, ground truth |
uses: BrainWeb - Simulated Brain Database is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Utah; Utah; USA |
Cancer | NIBIB R01 EB000219 | PMID:19119055 | Free, Available for download, Freely available | nlx_156007 | SCR_002604 | SciCrunch Registry | 2026-10-24 12:49:04 | 1 | ||||||
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SEER Datasets and Software Resource Report Resource Website 10+ mentions |
SEER Datasets and Software (RRID:SCR_003293) | data or information resource, disease-related portal, portal, software resource, topical portal | Portal provides SEER research data and software SEER*Stat and SEER*Prep. SEER incidence and population data associated by age, sex, race, year of diagnosis, and geographic areas can be used to examine stage at diagnosis by race/ethnicity, calculate survival by stage at diagnosis, age at diagnosis, and tumor grade or size, determine trends and incidence rates for various cancer sites over time. SEER releases new research data every Spring based on the previous November’s submission of data. | NCI, cancer, statistics, epidemiology, analysis |
lists: SEER*Stat lists: NCI SEER Cancer Stage Variable Documentation is related to: Surveillance Epidemiology and End Results has parent organization: National Cancer Institute |
cancer | NCI | Free, Freely available | nif-0000-31490 | SCR_003293 | SciCrunch Registry | The Surveillance Epidemiology and End Results (SEER) Program, SEER Datasets Software, SEER Datasets & Software, The Surveillance Epidemiology and End Results (SEER) Program of the National Cancer Institute | 2026-10-24 12:49:05 | 28 | ||||||
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OncoSNP Resource Report Resource Website 10+ mentions |
OncoSNP (RRID:SCR_012985) | OncoSNP | software resource | An analytical software tool for characterizing copy number alterations and loss-of-heterozygosity (LOH) events in cancer samples from SNP genotyping data. | is listed by: OMICtools | Cancer | Freely available for academic use, Non-commercial, Commercial with permission | OMICS_00728 | SCR_012985 | SciCrunch Registry | 2026-10-24 12:46:58 | 19 | ||||||||
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GeneSigDB Resource Report Resource Website 10+ mentions |
GeneSigDB (RRID:SCR_013275) | GeneSigDB | analysis service resource, data access protocol, data analysis service, data or information resource, data repository, database, production service resource, service resource, software resource, storage service resource, web service | Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service. | gene, gene signature, curated gene signature, gene expression, gene expression signature, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: Computational Biology and Functional Genomics Laboratory at Harvard |
Cancer | Genome Research Institute ; Dana-Farber Cancer Institute ; Women's Cancers Program ; Claudia Adams Barr Foundation ; NLM 1R01 LM010129; NCI 1U19 CA148065; NHGRI 1P50 HG004233 |
PMID:22110038 | biotools:genesigdb, nlx_149342 | https://bio.tools/genesigdb | SCR_013275 | SciCrunch Registry | Gene Signature Data Base, GeneSigDB - Curated Gene Signatures Database | 2026-10-24 12:47:03 | 24 | ||||
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CancerMutationAnalysis Resource Report Resource Website |
CancerMutationAnalysis (RRID:SCR_013181) | CancerMutationAnalysis | software resource | Software package that implements gene and gene-set level analysis methods for somatic mutation studies of cancer. |
is listed by: OMICtools has parent organization: Bioconductor |
Cancer | OMICS_00141 | SCR_013181 | SciCrunch Registry | 2026-10-24 12:47:00 | 0 | |||||||||
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L2L Microarray Analysis Tool Resource Report Resource Website 1+ mentions |
L2L Microarray Analysis Tool (RRID:SCR_013440) | L2L | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, data repository, database, production service resource, service resource, software application, software resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019. Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible |
microarray, gene expression, adipogenesis, biological, biological process, cancer, cell cycle regulator, cellular component, chromatin, cockayne syndrome, dna damage, growth factor, hormone, human biology, hypoxic response, immune mediator, inflammatory mediator, molecular function, molecular neuroanatomy resource, adipocyte, development, hypoxia, immune, inflammation, metabolism, mitogen, neuro, rna, vascular, transcription, tissue, splicing, mouse, human, rat, source code, statistical analysis, gene, chromatin structure |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Washington; Seattle; USA |
Cockayne syndrome, DNA damage, Other, Aging, Cancer | Cora May Poncin Foundation ; NIGMS GM41624 |
PMID:16168088 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10463 | http://depts.washington.edu/l2l/about.html | SCR_013440 | SciCrunch Registry | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-10-24 12:47:04 | 1 | |||
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Human Tumor Atlas Network Resource Report Resource Website 10+ mentions |
Human Tumor Atlas Network (RRID:SCR_023364) | HTAN | atlas, data or information resource, disease-related portal, portal, topical portal | HTAN is National Cancer Institute funded Cancer Moonshot initiative to construct 3-dimensional atlases of dynamic cellular, morphological, and molecular features of human cancers as they evolve from precancerous lesions to advanced disease.Provides three dimensional atlases of cancer transitions for diverse set of tumor types. Efforts to map healthy organs and previous large-scale cancer genomics approaches focused on bulk sequencing at single point in time. Data portal for Human Tumor Atlas Network. Data available on HTAN Portal is open access. Certain data types with potential for re-identification are available in restricted access through dbGAP. | Three dimensional atlases, cancer transitions, diverse set of tumor types, map healthy organs, cancer genomics approaches, bulk sequencing at single point in time, data, precancerous lesions to advanced disease, | cancer | National Cancer Institut Cancer Moonshot Initiative | PMID:32302568 | Free, Freely available | SCR_023364 | SciCrunch Registry | 2026-10-24 12:49:30 | 42 | |||||||
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CancerModels.Org Resource Report Resource Website 1+ mentions |
CancerModels.Org (RRID:SCR_023931) | data or information resource, data repository, disease-related portal, portal, service resource, storage service resource, topical portal | Cancer research platform that aggregates clinical, genomic and functional data from various types of patient derived cancer models, xenographs, organoids and cell lines. Open catalog of harmonised patient-derived cancer models. Standardises, harmonises and integrates clinical metadata, molecular and treatment-based data from academic and commercial providers worldwide. Data is FAIR and underpins generation and testing of new hypotheses in cancer mechanisms and personalised medicine development. PDCM Finder have expanded to organoids and cell lines and is now called CancerModels.Org. PDCM Finder was launched in April 2022 as successor of PDX Finder portal, which focused solely on patient-derived xenograft models. | FAIR data, clinical data, genomic data, functional data, patient derived, cancer models, xenographs, organoids, cell lines, | cancer | NCI R01 CA089713; NCI U24 CA204781 01; NCI U24 CA253539 01 |
PMID:36399494 | Free, Freely available | r3d100012961 | https://doi.org/10.17616/R31NJMHT | SCR_023931 | SciCrunch Registry | PDCM Finder, PDX Finder | 2026-10-24 12:49:37 | 8 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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