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Featured researches published by Delphine Baratin.


Nucleic Acids Research | 2012

ExPASy: SIB bioinformatics resource portal

Panu Artimo; Manohar Jonnalagedda; Konstantin Arnold; Delphine Baratin; Gábor Csárdi; Edouard de Castro; Séverine Duvaud; Volker Flegel; Arnaud Fortier; Elisabeth Gasteiger; Aurélien Grosdidier; Céline Hernandez; Vassilios Ioannidis; Dmitry Kuznetsov; Robin Liechti; Sébastien Moretti; Khaled Mostaguir; Nicole Redaschi; Grégoire Rossier; Ioannis Xenarios; Heinz Stockinger

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 many different domains, such as proteomics, genomics, phylogeny/evolution, systems biology, population genetics, transcriptomics, etc. The individual resources (databases, web-based and downloadable software tools) are hosted in a ‘decentralized’ way by different groups of the SIB Swiss Institute of Bioinformatics and partner institutions. Specifically, a single web portal provides a common entry point to a wide range of resources developed and operated by different SIB groups and external institutions. The portal features a search function across ‘selected’ resources. Additionally, the availability and usage of resources are monitored. The portal is aimed for both expert users and people who are not familiar with a specific domain in life sciences. The new web interface provides, in particular, visual guidance for newcomers to ExPASy.


Nucleic Acids Research | 2009

HAMAP: a database of completely sequenced microbial proteome sets and manually curated microbial protein families in UniProtKB/Swiss-Prot

Tania Lima; Andrea H. Auchincloss; Elisabeth Coudert; Guillaume Keller; Karine Michoud; Catherine Rivoire; Virginie Bulliard; Edouard de Castro; Corinne Lachaize; Delphine Baratin; Isabelle Phan; Lydie Bougueleret; Amos Marc Bairoch

The growth in the number of completely sequenced microbial genomes (bacterial and archaeal) has generated a need for a procedure that provides UniProtKB/Swiss-Prot-quality annotation to as many protein sequences as possible. We have devised a semi-automated system, HAMAP (High-quality Automated and Manual Annotation of microbial Proteomes), that uses manually built annotation templates for protein families to propagate annotation to all members of manually defined protein families, using very strict criteria. The HAMAP system is composed of two databases, the proteome database and the family database, and of an automatic annotation pipeline. The proteome database comprises biological and sequence information for each completely sequenced microbial proteome, and it offers several tools for CDS searches, BLAST options and retrieval of specific sets of proteins. The family database currently comprises more than 1500 manually curated protein families and their annotation templates that are used to annotate proteins that belong to one of the HAMAP families. On the HAMAP website, individual sequences as well as whole genomes can be scanned against all HAMAP families. The system provides warnings for the absence of conserved amino acid residues, unusual sequence length, etc. Thanks to the implementation of HAMAP, more than 200 000 microbial proteins have been fully annotated in UniProtKB/Swiss-Prot (HAMAP website: http://www.expasy.org/sprot/hamap).


Nucleic Acids Research | 2013

HAMAP in 2013, new developments in the protein family classification and annotation system

Ivo Pedruzzi; Catherine Rivoire; Andrea H. Auchincloss; Elisabeth Coudert; Guillaume Keller; Edouard de Castro; Delphine Baratin; Béatrice A. Cuche; Lydie Bougueleret; Sylvain Poux; Nicole Redaschi; Ioannis Xenarios; Alan Bridge

HAMAP (High-quality Automated and Manual Annotation of Proteins—available at http://hamap.expasy.org/) is a system for the classification and annotation of protein sequences. It consists of a collection of manually curated family profiles for protein classification, and associated annotation rules that specify annotations that apply to family members. HAMAP was originally developed to support the manual curation of UniProtKB/Swiss-Prot records describing microbial proteins. Here we describe new developments in HAMAP, including the extension of HAMAP to eukaryotic proteins, the use of HAMAP in the automated annotation of UniProtKB/TrEMBL, providing high-quality annotation for millions of protein sequences, and the future integration of HAMAP into a unified system for UniProtKB annotation, UniRule. HAMAP is continuously updated by expert curators with new family profiles and annotation rules as new protein families are characterized. The collection of HAMAP family classification profiles and annotation rules can be browsed and viewed on the HAMAP website, which also provides an interface to scan user sequences against HAMAP profiles.


Nucleic Acids Research | 2015

HAMAP in 2015: updates to the protein family classification and annotation system

Ivo Pedruzzi; Catherine Rivoire; Andrea H. Auchincloss; Elisabeth Coudert; Guillaume Keller; Edouard de Castro; Delphine Baratin; Béatrice A. Cuche; Lydie Bougueleret; Sylvain Poux; Nicole Redaschi; Ioannis Xenarios; Alan Bridge

HAMAP (High-quality Automated and Manual Annotation of Proteins—available at http://hamap.expasy.org/) is a system for the automatic classification and annotation of protein sequences. HAMAP provides annotation of the same quality and detail as UniProtKB/Swiss-Prot, using manually curated profiles for protein sequence family classification and expert curated rules for functional annotation of family members. HAMAP data and tools are made available through our website and as part of the UniRule pipeline of UniProt, providing annotation for millions of unreviewed sequences of UniProtKB/TrEMBL. Here we report on the growth of HAMAP and updates to the HAMAP system since our last report in the NAR Database Issue of 2013. We continue to augment HAMAP with new family profiles and annotation rules as new protein families are characterized and annotated in UniProtKB/Swiss-Prot; the latest version of HAMAP (as of 3 September 2014) contains 1983 family classification profiles and 1998 annotation rules (up from 1780 and 1720). We demonstrate how the complex logic of HAMAP rules allows for precise annotation of individual functional variants within large homologous protein families. We also describe improvements to our web-based tool HAMAP-Scan which simplify the classification and annotation of sequences, and the incorporation of an improved sequence-profile search algorithm.


Database | 2016

The UniProtKB guide to the human proteome.

Lionel Breuza; Sylvain Poux; Anne Estreicher; Maria Livia Famiglietti; Michele Magrane; Michael Tognolli; Alan Bridge; Delphine Baratin; Nicole Redaschi

Advances in high-throughput and advanced technologies allow researchers to routinely perform whole genome and proteome analysis. For this purpose, they need high-quality resources providing comprehensive gene and protein sets for their organisms of interest. Using the example of the human proteome, we will describe the content of a complete proteome in the UniProt Knowledgebase (UniProtKB). We will show how manual expert curation of UniProtKB/Swiss-Prot is complemented by expert-driven automatic annotation to build a comprehensive, high-quality and traceable resource. We will also illustrate how the complexity of the human proteome is captured and structured in UniProtKB. Database URL: www.uniprot.org


F1000Research | 2016

PROSITE, a database for domain and site detection and annotation

Christian J. A. Sigrist; Edouard de Castro; Béatrice A. Cuche; Delphine Baratin; Thierry Schuepbach; Sébastien Moretti; Marco Pagni; Sylvain Poux; Nicole Redaschi; Alan Bridge; Lydie Bougueleret; Ioannis Xenarios

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Edouard de Castro

Swiss Institute of Bioinformatics

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Nicole Redaschi

Swiss Institute of Bioinformatics

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Alan Bridge

Swiss Institute of Bioinformatics

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Ioannis Xenarios

Swiss Institute of Bioinformatics

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Sylvain Poux

Swiss Institute of Bioinformatics

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Andrea H. Auchincloss

Swiss Institute of Bioinformatics

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Béatrice A. Cuche

Swiss Institute of Bioinformatics

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Catherine Rivoire

Swiss Institute of Bioinformatics

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Elisabeth Coudert

Swiss Institute of Bioinformatics

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Guillaume Keller

Swiss Institute of Bioinformatics

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