Severine Duvaud

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The UniProt consortium was formed in 2002 by groups from the Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) at Georgetown University, and soon afterwards the website http://www.uniprot.org was set up as a central entry point to UniProt resources. Requests to this address were(More)
N-terminal myristoylation is a post-translational modification that causes the addition of a myristate to a glycine in the N-terminal end of the amino acid chain. This work presents neural network (NN) models that learn to discriminate myristoylated and nonmyristoylated proteins. Ensembles of 25 NNs and decision trees were trained on 390 positive sequences(More)
ExPASy (http://www.expasy.org) has worldwide reputation as one of the main bioinformatics resources for proteomics. It has now evolved, becoming an extensible and integrative portal accessing many scientific resources, databases and software tools in different areas of life sciences. Scientists can henceforth access seamlessly a wide range of resources in(More)
High-throughput proteomic studies produce a wealth of new information regarding post-translational modifications (PTMs). The Swiss-Prot knowledge base is faced with the challenge of including this information in a consistent and structured way, in order to facilitate easy retrieval and promote understanding by biologist expert users as well as computer(More)
P. Gaudet, L. Lane, P. Fey, A. Bridge, S. Poux, A. Auchincloss, K. Axelsen, S. Braconi Quintaje, E. Boutet, P. Brown, E. Coudert, R.S. Datta, W.C. de Lima, T. de Oliveira Lima, S. Duvaud, N. Farriol-Mathis, S. Ferro Rojas, M. Feuermann, A. Gateau, U. Hinz, C. Hulo, J. James, S. Jimenez, F. Jungo, G. Keller, P. Lemercier, D. Lieberherr, M. Moinat, A.(More)
ISMARA ( ismara.unibas.ch) automatically infers the key regulators and regulatory interactions from high-throughput gene expression or chromatin state data. However, given the large sizes of current next generation sequencing (NGS) datasets, data uploading times are a major bottleneck. Additionally, for proprietary data, users may be uncomfortable with(More)
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