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Found 3 result(s)

Cellular Phenotype database

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The Cellular Phenotype database stores data derived from high-throughput phenotypic studies and it is being developed as part of the Systems Microscopy Network of Excellence project. The aim of the Cellular Phenotype database is to provide easy access to phenotypic data and facilitate the integration of independent phenotypic studies. Through its interface, users can search for a gene of interest, or a collection of genes, and retrieve the loss-of-function phenotypes observed, in human cells, by suppressing the expression of the selected gene(s), through RNA interference (RNAi), across independent phenotypic studies. Similarly, users can search for a phenotype of interest and retrieve the RNAi reagents that have caused such phenotype and the associated target genes. Information about specific RNAi reagents can also be obtained when searching for a reagent ID.

International Argo Project

Argo.net

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Argo is an international programme using autonomous floats to collect temperature, salinity and current data in the ice-free oceans. It is teamed with the Jason ocean satellite series. Argo will soon reach its target of 3000 floats delivering data within 24 hours to researchers and operational centres worldwide. 23 countries contribute floats to Argo and many others help with float deployments. Argo has revolutionized the collection of information from inside the oceans. ARGO Project is organized in regional and national Centers with a Project Office, an Information Center (AIC) and 2 Global Data Centers (GDAC), at the United States and at France. Each DAC submits regularly all its new files to both USGODAE and Coriolis GDACs.The whole Argo data set is available in real time and delayed mode from the global data centres (GDACs). The internet addresses are: https://nrlgodae1.nrlmry.navy.mil/ and http://www.argodatamgt.org

UniRef

UniProt Reference Clusters

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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.