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The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt databases are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), and the UniProt Archive (UniParc). The UniProt Metagenomic and Environmental Sequences (UniMES) database is a repository specifically developed for metagenomic and environmental data. The UniProt Knowledgebase,is an expertly and richly curated protein database, consisting of two sections called UniProtKB/Swiss-Prot and UniProtKB/TrEMBL.
Project Tycho® is a project at the University of Pittsburgh to advance the availability and use of public health data for science and policy making. Currently, the Project Tycho® database includes data from all weekly notifiable disease reports for the United States dating back to 1888. These data are freely available to anybody interested. Additional U.S. and international data will be released twice yearly.
The Virtual Liver Network (VLN) represents a major research investment by the German Government focusing on work at the “bleeding edge” of Systems Biology and Systems Medicine. This Flagship Programme is tackling one of the major challenges in the life sciences: that is, how to integrate the wealth of data we have acquired post-genome, not just in a mathematical model, but more importantly in a series of models that are linked across scales to represent organ function. As the project is prototyping how to achieve true multi-scale modelling within a single organ and linking this to human physiology, it will be developing tools and protocols that can be applied to other systems, helping to drive forward the application of modelling and simulation to modern medical practice. It is the only programme of its type to our knowledge that bridges investigations from the sub-cellular through to ethically cleared patient and volunteer studies in an integrated workflow. As such, this programme is contributing significantly to the development of a new paradigm in biology and medicine.
As with most biomedical databases, the first step is to identify relevant data from the research community. The Monarch Initiative is focused primarily on phenotype-related resources. We bring in data associated with those phenotypes so that our users can begin to make connections among other biological entities of interest. We import data from a variety of data sources. With many resources integrated into a single database, we can join across the various data sources to produce integrated views. We have started with the big players including ClinVar and OMIM, but are equally interested in boutique databases. You can learn more about the sources of data that populate our system from our data sources page https://monarchinitiative.org/about/sources.
The UniProt Reference Clusters (UniRef) provide clustered sets of sequences from the UniProt Knowledgebase (including isoforms) and selected UniParc records in order to obtain complete coverage of the sequence space at several resolutions while hiding redundant sequences (but not their descriptions) from view.