Rat Genome Database (RGD)
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,The Rat Genome Database (RGD) is a collaborative effort between leading research institutions involved in rat genetic and genomic research to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community.,
MedGen is NCBI's portal to information about conditions and phenotypes related to Medical Genetics. Terms from the NIH Genetic Testing Registry (GTR), UMLS, HPO, Orphanet, ClinVar and other sources are aggregated into concepts, each of which is assigned a unique identifier and a preferred name and symbol. The core content of the record may include names, identifiers used by other databases, mode of inheritance, clinical features, and map location of the loci affecting the disorder. The concept identifier (CUI) is used to aggregate information about that concept, similar to the way NCBI Gene serves as a gateway to gene-related information. MedGen provides links to such resources as: Genetic tests registered in the NIH Genetic Testing Registry (GTR), GeneReviews, ClinVar, OMIM, Related genes, Disorders with similar clinical features, Medical and research literature, Practice guidelines, Consumer resources, Ontologies such as HPO and ORDO. Links to the GTR, GeneReviews, and Practice Guidelines are based on curation by NCBI staff. Other data feeds are automated, but reviewed by NCBI staff and informed by feedback from the community.
Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC)
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,The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) facilitates finding and comparing neuroimaging resources for functional and structural neuroimaging analyses—including popular tools as well as those that once might have been hidden in another researcher's laboratory or some obscure corner of cyberspace. NITRC collects and points to standardized information about tools, making the task of finding and comparing them easier than before. The site can help researchers find the right functional or structural neuroimaging tool or resource for their research. NITRC has recently added services such as cloud-based computing and data storage, and is broadening the range of scientific domains from MR to PET, SPECT, CT, MEG/EEG and optical imaging. Additional domains of interest are digital atlasing, and computational neuroscience, including large-scale and multi-scale modeling. The NITRC team searches out relevant research tools and resources to house on the site. Researchers can compare tools on NITRC and developers can seek and receive help from the community to make their tools more usable and accessible.,
NSDUH 2021 Methodological Resource Book (MRB)
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Use this collection to provide context for estimates from the National Survey on Drug Use and Health (NSDUH). This collection includes materials used to conduct the survey, reports on how the survey was conducted, and reports on how the data were processed. The Statistical Inference Report details how the data were analyzed for reports and tables, which may be useful for data users looking to do their own analysis.New items are added to the collection as they become available, so resources published in a previous MRB may not yet be available for 2021. However, there are generally few changes from year to year, and a report from a previous year may have the information you are looking for.
The National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS)
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,The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) is a national genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Data for the Alzheimer’s Disease Sequencing Project (ADSP) are available through a partnership with dbGaP (ADSP at dbGaP). Results are integrated and annotated in the searchable genomics database that also provides access to a variety of software packages, analytic pipelines, online resources, and web-based tools to facilitate analysis and interpretation of large-scale genomic data. Data are available as defined by the NIA Genomics of Alzheimer’s Disease Sharing Policy and the NIH Genomics Data Sharing Policy. Investigators return secondary analysis data to the database in keeping with the NIAGADS Data Distribution Agreement.,