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Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.

This site is a Swiss digital library dedicated to providing free online access to rare antique Swiss books and prints.The interface is available in German, English, French or Italian but most of the antique books are in German only. Users can set up RSS feeds to be alerted to new uploads.

IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.

Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.

MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.

enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.