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http://cancer.gov/cancertopics/pdq/cancerdatabase

NCI''s comprehensive cancer database that contains summaries on a wide range of cancer topics; a registry of 8,000+ open and 19,000+ closed cancer clinical trials from around the world; a directory of professionals who provide genetics services; the NCI Dictionary of Cancer Terms, with definitions for 6,800+ cancer and medical terms; and the NCI Drug Dictionary, which has information on 2,300+ agents used in the treatment of cancer or cancer-related conditions. The PDQ cancer information summaries are peer reviewed and updated monthly by six editorial boards comprised of specialists in adult treatment, pediatric treatment, supportive care, screening and prevention, genetics, and complementary and alternative medicine. The Boards review current literature from more than 70 biomedical journals, evaluate its relevance, and synthesize it into clear summaries. Many of the summaries are also available in Spanish.

Proper citation: Physician Data Query (RRID:SCR_006833) Copy   

•   Source: SciCrunch Registry

https://www.synapse.org/

A cloud-based collaborative platform which co-locates data, code, and computing resources for analyzing genome-scale data and seamlessly integrates these services allowing scientists to share and analyze data together. Synapse consists of a web portal integrated with the R/Bioconductor statistical package and will be integrated with additional tools. The web portal is organized around the concept of a Project which is an environment where you can interact, share data, and analysis methods with a specific group of users or broadly across open collaborations. Projects provide an organizational structure to interact with data, code and analyses, and to track data provenance. A project can be created by anyone with a Synapse account and can be shared among all Synapse users or restricted to a specific team. Public data projects include the Synapse Commons Repository (SCR) (syn150935) and the metaGenomics project (syn275039). The SCR provides access to raw data and phenotypic information for publicly available genomic data sets, such as GEO and TCGA. The metaGenomics project provides standardized preprocessed data and precomputed analysis of the public SCR data.

Proper citation: Synapse (RRID:SCR_006307) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/EHDAA2

A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy and incorporates each Carnegie stage of development (CS1-20). The abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just ''heart'' really means ''heart (CS 9-20)''. Timing details will be added to the abstract version of the ontology in a future release.

Proper citation: Human Developmental Anatomy Ontology abstract version 2 (RRID:SCR_010337) Copy   

•   Source: SciCrunch Registry

http://coot.embl.de/g2d/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of candidate genes for mapped inherited human diseases. Candidate priorities are automatically established by a data mining algorithm that extracts putative genes in the chromosomal region where the disease is mapped, and evaluates their possible relation to the disease based on the phenotype of the disorder. Data analysis uses a scoring system developed for the possible functional relations of human genes to genetically inherited diseases that have been mapped onto chromosomal regions without assignment of a particular gene. Methodology can be divided in two parts: the association of genes to phenotypic features, and the identification of candidate genes on a chromosonal region by homology. This is an analysis of relations between phenotypic features and chemical objects, and from chemical objects to protein function terms, based on the whole MEDLINE and RefSeq databases.

Proper citation: Candidate Genes to Inherited Diseases (RRID:SCR_008190) Copy   

•   Source: SciCrunch Registry

http://neibank.nei.nih.gov

An integrated resource for genomics and bioinformatics in vision research including expressed sequence tag (EST) data and sequence-verified cDNA clones for multiple eye tissues of several species, web-based access to human eye-specific SAGE data through EyeSAGE, and comprehensive, annotated databases of known human eye disease genes and candidate disease gene loci. All expression- and disease-related data are integrated in EyeBrowse, an eye-centric genome browser. NEIBank provides a comprehensive overview of current knowledge of the transcriptional repertoires of eye tissues and their relation to pathology. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAST search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. To see the same region at the full UCSC site, cut and paste the location from the position window of the genome browser. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank.

Proper citation: NEIBank (RRID:SCR_007294) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/labs-at-nimh/research-areas/research-support-services/hbcc/index.shtml

A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development.

Proper citation: NIMH Brain Tissue Collection (RRID:SCR_008726) Copy   

•   Source: SciCrunch Registry

http://www.utsouthwestern.edu/education/medical-school/departments/neurology/programs/alzheimers-disease-center/brain-tissue-donation-program.html

Brain tissue donation program at the UT Southwestern Memory Clinic that aims to utilize these contributions for research on Alzheimer's. Diagnosis of Alzheimer's disease or other dementias are made through autopsy, the results of which are available to family members.

Proper citation: UT Southwestern ADC Brain Tissue Donation Program (RRID:SCR_008837) Copy   

•   Source: SciCrunch Registry

http://www.ccehindy.org

Research center for hematology research. It provides services through four scientific core facilities: the Experimental Mouse Resources Core, the Optical Microscopy Services Core, the Angiogenesis Core, and the Flow Cytometry Core in addition to the Enrichment Program of the Center.

Proper citation: Indiana University Cooperative Center of Excellence in Hematology (RRID:SCR_015343) Copy   

•   Source: SciCrunch Registry

http://www.ggact.org

Project portal for a collaboration between Boston Children’s Hospital, Cincinnati Children’s Hospital Medical Center, and the University of California Los Angeles with funding from NIH NCATS. It aims to support investigators to rapidly translate complex gene and cell therapies to early phase, investigator-initiated clinical trials.

Proper citation: Growing Gene and Cell Therapy Cooperative (RRID:SCR_015861) Copy   

•   Source: SciCrunch Registry

http://www.cumc.columbia.edu/derc/

Research center which provides research support for investigators pursuing research on diabetes and metabolic disorders.

Proper citation: Columbia Diabetes Research Center (RRID:SCR_015075) Copy   

•   Source: SciCrunch Registry

http://www.cfrc.pitt.edu/index.html

Research center whose goal is to understand and translate the basic mechanisms of cystic fibrosis. It uses the molecular and cell biology of CFTR, CFTR mutants, infection, and inflammation with the overall theme of translating preclinical science into clinical investigations.

Proper citation: Cystic Fibrosis Center University of Pittsburgh (RRID:SCR_015400) Copy   

•   Source: SciCrunch Registry

http://cdmd.indiana.edu

Center that includes over seventy investigators engaged in basic and translational research in diabetes and related metabolic disorders, and their complications. It contains four Research Cores that serve for innovative and translational research.

Proper citation: Indiana Diabetes Research Center (RRID:SCR_015080) Copy   

•   Source: SciCrunch Registry

http://caprica.genetics.kcl.ac.uk/BRAINEAC/

Database for the UK Brain Expression Consortium (UKBEC) dataset that comprises of brains from individuals free of neurodegenerative disorders. The aim of Braineac is to release to the scientific community a valid instrument to investigate the genes and SNPs associated with neurological disorders.

Proper citation: Braineac (RRID:SCR_015888) Copy   

•   Source: SciCrunch Registry

https://www.generecommender.com

Platform for helping science researchers by recommending gene symbol obtained by AI neural proprietary network able to scan millions of papers. Web tool to extract hidden patterns and correlations among genes and diseases from scientific papers.

Proper citation: GeneRecommender (RRID:SCR_022670) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=TrumpetPlots

Software R package to visualize relationship between allele frequency and effect size in genetic association studies.

Proper citation: TrumpetPlots (RRID:SCR_023742) Copy   

•   Source: SciCrunch Registry

http://www.tbi-impact.org/

Project focused on advancing knowledge of prognosis, trial design and treatment in Traumatic Brain Injury. IMPACT has developed and validated prognostic models for classification and characterization of TBI series, and participated in development of standardization of data collection in TBI studies.

Proper citation: IMPACT: International Mission for Prognosis and Analysis of Clinical Trials in TBI (RRID:SCR_000539) Copy   

•   Source: SciCrunch Registry

http://www.madsci.org/cgi-bin/cgiwrap/~lynn/image?return=http://www.google.com/custom?domains&name=a_vm1110&show_all=1&search

Portal for learning resources about the brain. It includes information and interactive images of transverse brain sections.

Proper citation: Visible Human Transverse Section Through the Head (RRID:SCR_001966) Copy   

•   Source: SciCrunch Registry

http://www.epitarget.eu/

A multidisciplinary project focused on the process leading to epilepsy, epileptogenesis, in adults. Their main hypothesis is that there are combinations of various causes, acting in parallel and/or in succession, that lead to epileptogenesis and development of seizures. Their central premise and vision is that a combinatorial approach is necessary to identify appropriate biomarkers and develop effective antiepileptogenic therapeutics. The project will focus on: * identifying novel biomarkers and their combinations for epileptogenesis after potentially epileptogenic brain insults in clinically relevant animal models, such as traumatic brain injury (TBI) and status epilepticus (SE); * exploring multiple basic mechanisms of epileptogenesis and their mutual interactions; * and translating these findings towards the clinic by validating biomarkers in human samples accessible to the consortium.

Proper citation: EpiTarget (RRID:SCR_003771) Copy   

•   Source: SciCrunch Registry

http://idash.ucsd.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. National Center for Biomedical Computing (NCBC) that develops new algorithms, opensource tools, computational infrastructure, and services for biomedical and behavioral researchers nationwide to promote the secure sharing and consuming of biomedical and behavioral resources (software, data, and computing systems) with iDASH collaborators. The center addresses fundamental challenges to research progress by providing a secure, privacypreserving environment in which researchers can analyze genomic, transcriptomic, clinical, behavioral, and social data relevant to health. Three driving biological projects in iDASH (Molecular Phenotyping of Kawasaki Disease, Post-Marketing Surveillance of Hematologic Medications, and Individualized Intervention to Enhance Physical Activity) span the molecular-individualpopulation spectrum, and they will motivate, inform, and support tool development. iDASH will collaborate with other NCBCs and will disseminate tools via annual workshops, presentations at major conferences, and scientific publications.

Proper citation: iDASH (RRID:SCR_003524) Copy   

•   Source: SciCrunch Registry