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Found 5 result(s)

BCCM/ITM Mycobacteria Collection

Belgian Co-Ordinated Collections Of Micro-Organisms/ITM Mycobacteria Collection

Subject(s)
Content type(s)
Country
BCCM/ITM is a collection of well documented mycobacteria, characterized by phenotypic and/or genotypic tests. While having an emphasis on (drug-resistant) M. tuberculosis complex, BCCM/ITM comprises more than 90 mycobacterial species from human, animal and environmental origin from all continents.

GeneCards

The Human Gene Database

Subject(s)
Content type(s)
Country
GeneCards is a searchable, integrative database that provides comprehensive, user-friendly information on all annotated and predicted human genes. It automatically integrates gene-centric data from ~125 web sources, including genomic, transcriptomic, proteomic, genetic, clinical and functional information.

Work With Data

The Data Library

Subject(s)
Content type(s)
Country
Work With Data functions as a data library, collecting data from multiple reliable sources and merging them altogether into one database. It focuses on access through insights, datasets and api.

National Trauma Data Bank

NTDB

Subject(s)
Content type(s)
Country
The National Trauma Data Bank® (NTDB) is the largest aggregation of trauma registry data ever assembled. The goal of the NTDB is to inform the medical community, the public, and decision makers about a wide variety of issues that characterize the current state of care for injured persons. Registry data that is collected from the NTDB is compiled annually and disseminated in the forms of hospital benchmark reports, data quality reports, and research data sets. Research data sets that can be used by researchers. To gain access to NTDB data, researchers must submit requests through our online application process

MalaCards

Human disease Database

Subject(s)
Content type(s)
Country
MalaCards is an integrated database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes. MalaCards mines and merges varied web data sources to generate a computerized web card for each human disease. Each MalaCard contains disease specific prioritized annotative information, as well as links between associated diseases, leveraging the GeneCards relational database, search engine, and GeneDecks set-distillation tool. As proofs of concept of the search/distill/infer pipeline we find expected elucidations, as well as potentially novel ones.