• GB close
• Thematic: No close

DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.

This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.

The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.

The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.

University repository providing access to the publication output of the institution. The interface is in English. Users may set up an RSS feed to be alerted to new content.

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).

This site provides access to the research output of the institution. Many items are not available as full-text. The interface is in English. Users may set up RSS feeds to be alerted to new content. Full guidance and help materials are provided on the site. This includes ‘ARRO: A Comprehensive Guide’, which gives details of the policies and processes that apply to ARRO.