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http://genomics.senescence.info/

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.

Proper citation: Human Ageing Genomic Resources (RRID:SCR_007700) Copy   

•   Source: SciCrunch Registry

http://www.eortc.org/clinical-trials

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.

Proper citation: EORTC Clinical Trials (RRID:SCR_004011) Copy   

•   Source: SciCrunch Registry

http://norccentral.org

Portal to research centers and core facilities specifically support obesity research and better understand the relationship between health and nutrition.

Proper citation: Nutrition and Obesity Research Centers (RRID:SCR_004131) Copy   

•   Source: SciCrunch Registry

http://www.dukecancerinstitute.org/

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.

Proper citation: Duke Cancer Institute (RRID:SCR_004338) Copy   

•   Source: SciCrunch Registry

http://discovery.hsci.harvard.edu/

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.

Proper citation: Stem Cell Discovery Engine (RRID:SCR_004453) Copy   

•   Source: SciCrunch Registry

https://www.urmc.rochester.edu/neurosurgery/specialties/neurooncology.aspx

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.

Proper citation: University of Rochester Program for Brain Tumors and Spinal Tumors (RRID:SCR_005343) Copy   

•   Source: SciCrunch Registry

http://www.Ablynx.com

A biopharmaceutical company engaged in the discovery and development of Nanobodies, a novel class of antibody-derived therapeutic proteins based on single-domain antibody fragments, for a range of serious life-threatening human diseases including inflammation, hematology, oncology and pulmonary disease.

Proper citation: Ablynx (RRID:SCR_002940) Copy   

•   Source: SciCrunch Registry

https://healthcaredelivery.cancer.gov/seermedicare/

Portal to reflect the linkage of two large population based sources of data that provide detailed information about Medicare beneficiaries with cancer.

Proper citation: NCI Division of Cancer Control and Population Sciences SEER-Medicare Linked Data Resource (RRID:SCR_025811) Copy   

•   Source: SciCrunch Registry

https://oncotree.mskcc.org/

Community-driven cancer classification platform encompassing rare and common cancers that provides clinically relevant and appropriately granular cancer classification for clinical decision support systems and oncology research. Cancer classification system for precision oncology.

Proper citation: OncoTree (RRID:SCR_026218) Copy   

•   Source: SciCrunch Registry

http://www.jtcancercenter.org/clinical_trials/the_tissue_bank2/

The Tissue Bank stores tissue, blood, and bone marrow samples that have been taken from patients who have given their consent after they have undergone biopsies, surgery, or other procedures for cancer at the John Theurer Cancer Center. Our scientists use these samples to analyze and study multiple types of human cancer, with a goal toward learning more about how cancer develops, developing innovative new treatments, and determining how well a treatment is working. Our Tissue Bank is overseen by our program and medical director, Andre Goy, M.D., M.S., who is also deputy director of the Cancer Center and chief of the Division of Lymphoma; and our scientific director, K. Stephen Suh, Ph.D. Currently, 30 percent of our Tissue Bank team members work in our clinics, and 70 percent of our team works ����?��������??behind the scenes,����?��������?? conducting important scientific research without meeting patients.

Proper citation: Hackensack University Tissue Bank (RRID:SCR_004956) Copy   

•   Source: SciCrunch Registry

https://research.kssg.ch/Projekte/nach-Projekttyp/48182/L-en

St. Gallen Lung Biopsy Biobank is a tissue and blood sample collation (biobank) of all patients willing to give informed consent, who are undergoing bronchoscopy and/or surgical lung resection in their diagnostic pathway for any pulmonary disease. The special feature of the proposed biobank is the collection of endobronchial biopsies, blood, and molecularly defined cell populations from tumor tissue in a quality suitable for mRNA and other protein expression techniques, which is not possible by standard biobanks.

Proper citation: St. Gallen Lung Biopsy Biobank (RRID:SCR_004971) Copy   

•   Source: SciCrunch Registry

http://frederick.cancer.gov/

A federally funded research and development center dedicated to biomedical research. NCI-Frederick partners with university, government, and corporate scientists to speed the translation of laboratory research into new diagnostic tests and treatments for cancer and HIV/AIDS. NCI-Frederick is comprised of more than 2,800 government- and contractor-employed biomedical researchers, laboratory technicians, and support staff and several cancer research centers. The FNLCR provides quick response capabilities and meets special long-term research and development needs for NCI that cannot be met as effectively by existing in-house or contractor resources.

Proper citation: NCI-Frederick (RRID:SCR_004880) Copy   

•   Source: SciCrunch Registry

http://www.utmb.edu/scccb/htbc/htbc.htm

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016.

Proper citation: University of Texas Tumor Bank (RRID:SCR_005048) Copy   

•   Source: SciCrunch Registry

http://www.fccc.edu/prevention/studies/biosample/about.html

Fox Chase has developed a facility dedicated to the collection and distribution of human subject biosamples and supporting personal and family cancer history data. In response to announcement (CA-00-025; P30 CA06927S2), the Fox Chase Cancer Center''s Biosample Repository (BR) and Tumor Bank Facility (TBF) is making blood specimens (i.e., whole blood, plasma, platelet-rich plasma, platelet homogenates, red blood cells, leukocytes, lymphoblastoid cell lines, and DNA isolated from leukocytes) and tumor tissues (i.e., multi-tissue microarrays and tumor DNAs) collected by our facilities available for research. Request for blood and tissue will be reviewed by a panel of scientists and ranked. Priority will be given to those investigators with current NIGH/NCI funding, but will be made available as recommended by the internal and external advisory committees. * Blood Inventory: Plasma, Serum, Whole Blood, Lymphocytes, DNA * Tissue Inventory: Tumor and Normal Adjacent Tissue, Fresh-Frozen, Formalin-Fixed Paraffin-Embedded Tissue, OCT Embedded Tissue, Ethanol-fixed Tissue

Proper citation: Fox Chase Biosample Repository Core Facility (RRID:SCR_004746) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/oncotator

A tool for annotating human genomic point mutations and indels with data relevant to cancer researchers. Genomic Annotations, Protein Annotations, and Cancer Annotations are aggregated from many resources. A standalone version of Oncotator is being developed.

Proper citation: Oncotator (RRID:SCR_005183) Copy   

•   Source: SciCrunch Registry

http://lomalindahealth.org/medical-center/our-services/cancer-center/cancer-resource-center/biospecimen-laboratory.html

The Loma Linda University Cancer Center Biospecimen Laboratory provides specimens for researchers as they search for the causes of cancer, and look for new means of prevention and treatment. The specimens include tissues, blood products (blood cell, plasma and serum) and bone marrow cells. Researchers interested in gaining access to the Biospecimen Laboratory''s samples should email Dr. Saied Mirshahidi, requesting access. The number and types of samples we have available for research can be viewed, http://www.llu.edu/catissuesummary/. Use the Biospecimen Laboratory Tissue Request Form to request specimens for research studies.

Proper citation: Loma Linda University Cancer Center Biospecimen Laboratory (RRID:SCR_004767) Copy   

•   Source: SciCrunch Registry

http://clinicalinformatics.stanford.edu/services/biobank.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 7th, 2023. An online, searchable record of biospecimen attributes and storage location for the following three biobanks at Stanford: * The Bone Marrow Transplant (BMT) program * The Hematology biospecimen bank is a research sample repository focusing on blood, plasma and bone marrow, primarily from leukemia patients. * Cancer Center Pathology Core: The Stanford Comprehensive Cancer Center Tissue Bank stores research samples of both solid tumor and blood from cancer patients, with an emphasis on prostate. As of November 2009, the system contains data on 50,000 biospecimens stored in multiple banks at Stanford. An anonymous Biospecimen Locator allows Stanford researchers to search the STRIDE Virtual Biospecimen Bank for suitable samples without having to know, or expose, any protected patient-specific information. Having determined that suitable specimens exist in one of the constituent biospecimens banks, the researcher can generate a Web-based request form to obtain additional information from the appropriate bank operator(s). Access to specimens is restricted to Stanford Faculty and Staff or affiliates., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: STRIDE Virtual Biospecimen Bank (RRID:SCR_008667) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://research-public.gene.com/Research/genentech/canpredict/index.html

Web application that uses a combination of computational methods to identify those changes most likely to be cancer-associated.

Proper citation: CanPredict (RRID:SCR_008216) Copy   

•   Source: SciCrunch Registry

https://github.com/eduardporta/e-Driver

Software tool to identify cancer driver genes based on linear annotations of biological regions such as protein domains.Uses information on three-dimensional structures of mutated proteins to identify specific structural features. Then algorithm analyzes whether these features are enriched in cancer somatic mutations and are candidate driver genes.

Proper citation: e-Driver (RRID:SCR_002674) Copy   

•   Source: SciCrunch Registry