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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Cliniques Universitaires Saint-Luc Cancer Centre Resource Report Resource Website |
Cliniques Universitaires Saint-Luc Cancer Centre (RRID:SCR_004922) | Cliniques Universitaires Saint-Luc Cancer Centre | data or information resource, portal, topical portal, training resource | An essential reference center in Europe and a leader in French-speaking Belgium that treats all types of adult and childhood cancer. They fight against cancer while giving patients comprehensive and humane care. Their quest for excellence is in three main academic fields: clinical care, research and teaching. | cancer, adult human, child, clinical, oncology, research, young human | is parent organization of: Saint-Luc Tumour Bank | Cancer | nlx_143961 | http://www.centreducancer.be/en | SCR_004922 | Centre du Cancer Cliniques Universitaires St-Luc, Cliniques Universitaires Saint-Luc Cancer Center | 2026-08-29 11:22:17 | 0 | ||||||
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Ivy Glioblastoma Atlas Project Resource Report Resource Website 100+ mentions |
Ivy Glioblastoma Atlas Project (RRID:SCR_005044) | Ivy GAP | atlas, data or information resource, database, image collection | Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment. | glioblastoma, in situ hybridization, hematoxylin and eosin stain, brain, tumor, gene expression, anatomic structure, histology, clinical, genomic, expression array, gene, FASEB list | has parent organization: Allen Institute for Brain Science | Brain cancer, Cancer | Ben and Catherine Ivy Foundation | nlx_99161 | SCR_005044 | 2026-08-29 11:22:14 | 158 | |||||||
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ABSOLUTE Resource Report Resource Website 100+ mentions |
ABSOLUTE (RRID:SCR_005198) | ABSOLUTE | software resource | Software to estimate purity / ploidy, and from that compute absolute copy-number and mutation multiplicities. When DNA is extracted from an admixed population of cancer and normal cells, the information on absolute copy number per cancer cell is lost in the mixing. The purpose of ABSOLUTE is to re-extract these data from the mixed DNA population. This process begins by generation of segmented copy number data, which is input to the ABSOLUTE algorithm together with pre-computed models of recurrent cancer karyotypes and, optionally, allelic fraction values for somatic point mutations. The output of ABSOLUTE then provides re-extracted information on the absolute cellular copy number of local DNA segments and, for point mutations, the number of mutated alleles. |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer, Normal | PMID:22544022 | Account required | OMICS_00217 | SCR_005198 | 2026-08-29 11:22:17 | 283 | |||||||
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qSNP Resource Report Resource Website 10+ mentions |
qSNP (RRID:SCR_005105) | qSNP | software resource | A single nucleotide variant caller optimised for identifying somatic variants in low cellularity cancer samples. |
is listed by: OMICtools has parent organization: University of Queensland; Brisbane; Australia |
Cancer | PMID:24250782 | OMICS_00089 | SCR_005105 | 2026-08-29 11:22:23 | 26 | ||||||||
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Ben and Catherine Ivy Foundation Resource Report Resource Website 1+ mentions |
Ben and Catherine Ivy Foundation (RRID:SCR_006333) | Ivy Foundation | funding resource | Funds patient-focused research on gliomas to develop better diagnostics and treatments that lead to long-term survival and a high quality of life for patients with brain tumors. The goal is to decrease the suffering of patients with brain tumors. With an ultimate goal to cure brain cancer, their immediate goal is to improve diagnostics and treatment. They are dedicated to improving the lives of all patients with brain cancer by funding research that they hope will lead to the doubling of life expectancy of patients with brain cancer. Their goal is to do this within the next seven years. Since 2005 they''ve committed more than $50 million to research into brain tumors, with the expectation that this will lead to better diagnostics and therapies. They are dedicated to this search because funding leads to answers, and answers lead to hope. | glioma, research, brain, tumor, brain tumor, diagnostic, treatment | Brain cancer, Cancer | nlx_152043 | SCR_006333 | 2026-08-29 11:22:37 | 2 | |||||||||
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BioGrid Australia Resource Report Resource Website 100+ mentions |
BioGrid Australia (RRID:SCR_006334) | BioGrid Australia | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A federated data sharing platform and infrastructure that provides access to real-time clinical, imaging and biospecimen data across jurisdictions, institutions and diseases. The web-based platform provides a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. Access to de-identified health records data is granted to authorized researchers after an application process so patient privacy and intellectual property are protected. BioGrid Australia''s approved researchers are provided access to multiple institutional databases, via the BioGrid interface, preventing gaps in patient records and research analysis. This legal and ethical arrangement with participating collaborators allows BioGrid to connect data through a common platform where data governance and access is managed by a highly skilled team. Data governance, security and ethics are at the core of BioGrid''s federated data sharing platform that securely links patient level clinical, biospecimen, genetic and imaging data sets across multiple sites and diseases for the purpose of medical research. BioGrid''s infrastructure and data management strategies address the increasing need by authorized researchers to dynamically extract and analyze data from multiple sources whilst protecting patient privacy. BioGrid has the capability to link data with other datasets, produce tailored reports for auditing and reporting and provide statistical analysis tools to conduct more advanced research analysis. In the health sector, BioGrid is a trusted independent virtual real-time data repository. Government investment in BioGrid has facilitated a combination of technology, collaboration and ethics approval processes for data sharing that exist nowhere else in the world. | endocrinology, neuroscience, imaging, medicine, oncology, population, cancer, cystic fibrosis, diabetes, pet, mri, clinical, respiratory, health, epilepsy, neuropsychiatry, data sharing, FASEB list | Cancer, Diabetes, Epilepsy, Cystic fibrosis, Respiratory disease, Multiple Sclerosis, Stroke, Bone density | Closed; Authorized researchers only. | nlx_152036, r3d100012476 | https://doi.org/10.17616/R3921N | http://www.biogrid.org.au/wps/portal | SCR_006334 | BioGrid Australia Limited | 2026-08-29 11:22:35 | 297 | |||||
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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 | 2026-08-29 11:22:36 | 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 | 2026-08-29 11:22:44 | 56 | ||||
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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 | NCIBI | 2026-08-29 11:20:45 | 1 | |||||
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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 | SamSPECTRAL - Identifies cell population in flow cytometry data | 2026-08-29 11:21:07 | 4 | |||||
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Athens Research and Technology Resource Report Resource Website 1+ mentions |
Athens Research and Technology (RRID:SCR_001079) | commercial organization | Commercial supplier of bioproducts for studies of inflammation, autoimmune disease, cancer, coronary disease, Alzheimer's Disease and more. These include antibodies, enzymes, coagulation factors, and assay kits. | antibody, protein, biotherapeutics, autoimmune disease, cancer, coronary disease, alzheimers disease | inflammation, autoimmune disease, cancer, coronary disease, Alzheimer's Disease | Wikidata: Q30284050, nlx_152285, grid.423006.3 | https://ror.org/0527dhk70 | SCR_001079 | Athens Research and Technology Inc. | 2026-08-29 11:20:58 | 1 | ||||||||
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VegaMC Resource Report Resource Website 1+ mentions |
VegaMC (RRID:SCR_001267) | VegaMC | software resource | Software package that enables the detection of driver chromosomal imbalances including loss of heterozygosity (LOH) from array comparative genomic hybridization (aCGH) data. It performs a joint segmentation of a dataset and uses a statistical framework to distinguish between driver and passenger mutation. VegaMC has been implemented so that it can be immediately integrated with the output produced by PennCNV tool. In addition, it produces in output two web pages that allows a rapid navigation between both the detected regions and the altered genes. In the web page that summarizes the altered genes, the link to the respective Ensembl gene web page is reported. | copy number variation, acgh, chromosomal imbalance |
is listed by: OMICtools is related to: PennCNV has parent organization: Bioconductor |
Cancer | PMID:22815357 | Free, Available for download, Freely available | OMICS_02071 | SCR_001267 | VegaMC: A Package Implementing a Variational Piecewise Smooth Model for Identification of Driver Chromosomal Imbalances in Cancer | 2026-08-29 11:21:00 | 1 | |||||
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Computer Integrated Systems for Microscopy and Manipulation Resource Report Resource Website 1+ mentions |
Computer Integrated Systems for Microscopy and Manipulation (RRID:SCR_001413) | CISMM | training resource | Biomedical technology research center that develops force technologies applicable over a wide range of biological settings, from the single molecule to the tissue, with integrated systems that orchestrate facile instrument control, multimodal imaging, and analysis through visualization and modeling. The Force Microscope Technologies Core designs instruments in an area of science where there are unusual opportunities: the measurement of forces and the integration with optical microscopy. Force technologies play the obvious role of both measuring events in the sample and modifying the sample during the experiment. It is through the microscope that the force data is correlated with simultaneous 3D optical images. The force technology development includes the magnetic bead technology in the 3D Force Microscope project, Atomic Force Microscopy in the nanoManipulator project, and Control Software to drive the instrumentation. This core is focused on providing the physical capability to perform the experiments and probe structure/property correlations. The Ideal User Interfaces core makes the connection between the user and the instrument, the model building, and the data. This includes control systems that allow the user to move the bead inside the cell culture with a handheld pen and the visualization techniques to view the optical microscope data as a rendered 3D image collocated with the force data. Using data to create, change, and understand a model is the focus of the Advanced Model Fitting and Analysis core. The quantitative reduction of images to structural, shape, and velocity parameters is the goal of Image Analysis. The immediate understanding of correlations across image fields and between data sets in the challenge of Visualization. The power of combining the strength of a computer science graphics group with a microscopy technology group is most evident in the Graphics Hardware Acceleration project, which seeks to harness the speed of graphics processors for microscope data analysis and simulation. The Advanced Technology core pushes the boundaries of the Human Computer Interface through the investigation of improved techniques for the interaction of users with virtual environments, the real time lighting of virtual settings, and the enabling of multi-person collaboration. These techniques are validated and evaluated through physiological measures in virtual environments effectiveness evaluation studies. | microscope, visual analytics, image analysis, biomedical, bioinstrumatics, scanning electron microscope, light microscope, microscopy | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Thrombosis, Lung disease, Cancer | NIBIB 5-P41-EB002025 | Freely Available | nlx_152648 | http://cismm.cs.unc.edu/ | SCR_001413 | UNC Chapel Hill Computer Integrated Systems for Microscopy and Manipulation | 2026-08-29 11:20:43 | 8 | ||||
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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 | 2026-08-29 11:20:19 | 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 | nFuse: Discovery of Complex Genomic Rearrangements in Cancer | 2026-08-29 11:20:19 | 2 | |||||
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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 | Adaptive Crawler, Smart Web Crawler | 2026-08-29 11:20:41 | 0 | |||||
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Wnt homepage Resource Report Resource Website 10+ mentions |
Wnt homepage (RRID:SCR_000662) | Wnt homepage | data or information resource, portal, topical portal | A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year. | wnt signaling, wnt, wnt protein, wnt pathway, signaling, pathway, method, protein, reagent, bibliography | has parent organization: Stanford University; Stanford; California | Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156863 | SCR_000662 | the Wnt homepage | 2026-08-29 11:20:34 | 13 | ||||||
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Gene Expression Profiling Interactive Analysis Resource Report Resource Website 5000+ mentions |
Gene Expression Profiling Interactive Analysis (RRID:SCR_018294) | GEPIA | analysis service resource, data access protocol, production service resource, service resource, software resource, web service | Web server for cancer and normal gene expression profiling and interactive analyses. Interactive web server for analyzing RNA sequencing expression data of tumors and normal samples from TCGA and GTEx projects, using standard processing pipeline. Provides customizable functions such as tumor or normal differential expression analysis, profiling according to cancer types or pathological stages, patient survival analysis, similar gene detection, correlation analysis and dimensionality reduction analysis. | Cancer gene expression, normal gene expression, analysis, RNA sequencing, expression data, TCGA project, GTEx project, patient survival analysis, correlation analysis |
is related to: Gene Expression Profiling Interactive Analysis 2 has parent organization: Peking University; Beijing; China |
Cancer | National Natural Science Foundation of China ; Peking University |
PMID:28407145 | Free, Freely available | SCR_018294 | 2026-08-29 11:25:43 | 7126 | ||||||
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Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Resource Report Resource Website |
Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology (RRID:SCR_015320) | data or information resource, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July,27,2022. Core facility that provides scientific and budgetary oversight for all CCEH activities. This includes training programs, high school summer internships, and and pilot and feasibility program for new projects. | cancer research, administrative support, budgetary oversight, training programs |
is listed by: NIDDK Information Network (dkNET) has parent organization: Fred Hutchinson Cancer Center has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Antibody Technology has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Arnold Library has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Comparative Medicine has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Electron Microscopy has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Experimental Histopathology Shared Resource has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Flow Cytometry has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Genomics Shared Resource has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Glassware Services has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Proteomics Resource has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Research Freezers and Sample Storage Resource has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Scientific Imaging has organization facet: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Specimen Processing/Research Cell Bank is organization facet of: Hematology Centers |
cancer | NIDDK P30DK056465 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_015922 | SCR_015320 | 2026-08-29 11:28:56 | 0 | |||||||
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Biorepositories and Biospecimens Research Branch Resource Report Resource Website 1+ mentions |
Biorepositories and Biospecimens Research Branch (RRID:SCR_013979) | data or information resource, portal | BBRB supports medical discovery and precision medicine by providing leadership, tools, and resources to the biobanking community. Provides input on policy related to biobanking and supports the availability of biospecimens for research. Develops standardized procedures for biospecimen science and research; conducts and sponsors research on the effects of biospecimen preanalytical factors; leads and supports major scientific initiatives requiring high-quality biospecimens; and supports investigations into the ethical, legal, and social issues concerning biospecimen collection and use. | portal, biospecimen, human biospecimen, cancer, cancer research, database, |
is listed by: Connected Researchers is related to: Biospecimen Research Database is related to: caHUB is related to: Connected Researchers has parent organization: National Cancer Institute |
cancer | Free, Freely available | http://biospecimens.cancer.gov/default.asp | SCR_013979 | , NCI’s Biorepositories and Biospecimen Research Branch (BBRB) | 2026-08-29 11:28:54 | 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.
