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Found 5 result(s)

EMBL-EBI

European Molecular Biology Laboratory - European Bioinformatics Institute

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The European Bioinformatics Institute (EBI) has a long-standing mission to collect, organise and make available databases for biomolecular science. It makes available a collection of databases along with tools to search, download and analyse their content. These databases include DNA and protein sequences and structures, genome annotation, gene expression information, molecular interactions and pathways. Connected to these are linking and descriptive data resources such as protein motifs, ontologies and many others. In many of these efforts, the EBI is a European node in global data-sharing agreements involving, for example, the USA and Japan.

SoyBase

SoyBase and the Soybean Breeder's Toolbox

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SoyBase is a professionally curated repository for genetics, genomics and related data resources for soybean. It contains current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated "Williams 82" genomic sequence and associated data mining tools. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies.

chemotion

Repository for molecules and research data

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Chemotion-repository is a repository for the publication, re-use and archiving of research data in the domain of chemistry. It is suitable for molecules, reactions, and associated data. It stores original data in diverse file-formats including standard file types and as well as descriptions, metadata, and ontologies. The repository is open to all researchers worldwide.

DisProt

Database of Protein Disorder

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The Database of Protein Disorder (DisProt) is a curated database that provides information about proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. DisProt is a community resource annotating protein sequences for intrinsically disorder regions from the literature. It classifies intrinsic disorder based on experimental methods and three ontologies for molecular function, transition and binding partner.

The Monarch Initiative

Monarch Initiative

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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.