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  • The CATH database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It provides a hierarchical domain classification of protein structures in the Protein Data Bank. Protein structures are classified using a combination of automated and manual procedures. There are four major levels in this hierarchy; Class (secondary structure classification, e.g. mostly alpha), Architecture (classification based on overall shape), Topology (fold family) and Homologous superfamily (protein domains which are thought to share a common ancestor).

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  • The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.

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  • The University of Manitoba Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers as part of the Borealis network. This repository is Core Trust Seal certified (https://coretrustseal.org)

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  • PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.

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  • This site provides access to the research and teaching output of the institution. Many items provide links to the work held elsewhere.

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4,705 Data sources
  • The CATH database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It provides a hierarchical domain classification of protein structures in the Protein Data Bank. Protein structures are classified using a combination of automated and manual procedures. There are four major levels in this hierarchy; Class (secondary structure classification, e.g. mostly alpha), Architecture (classification based on overall shape), Topology (fold family) and Homologous superfamily (protein domains which are thought to share a common ancestor).

    more_vert
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  • more_vert
  • The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.

    more_vert
  • The University of Manitoba Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers as part of the Borealis network. This repository is Core Trust Seal certified (https://coretrustseal.org)

    more_vert
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  • PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.

    more_vert
  • This site provides access to the research and teaching output of the institution. Many items provide links to the work held elsewhere.

    more_vert
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  • 14
  • 15
  • 16
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