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PepPSy: a web server to prioritize gene products in experimental and biocuration workflows.
Sallou, Olivier; Duek, Paula D; Darde, Thomas A; Collin, Olivier; Lane, Lydie; Chalmel, Frédéric.
Affiliation
  • Sallou O; Genouest Bioinformatics Platform, IRISA, Campus de Beaulieu, Rennes 35042, France.
  • Duek PD; CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Michel Servet 1, Geneva 1211, Switzerland.
  • Darde TA; Genouest Bioinformatics Platform, IRISA, Campus de Beaulieu, Rennes 35042, France IRSET, Inserm U1085, 9 avenue du Professeur Léon Bernard, Rennes 35000, France.
  • Collin O; Genouest Bioinformatics Platform, IRISA, Campus de Beaulieu, Rennes 35042, France.
  • Lane L; CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Michel Servet 1, Geneva 1211, Switzerland Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, CMU, Michel Servet 1, Geneva 1211, Switzerland.
  • Chalmel F; IRSET, Inserm U1085, 9 avenue du Professeur Léon Bernard, Rennes 35000, France frederic.chalmel@inserm.fr.
Database (Oxford) ; 20162016.
Article in En | MEDLINE | ID: mdl-27173522
ABSTRACT
Among the 20 000 human gene products predicted from genome annotation, about 3000 still lack validation at protein level. We developed PepPSy, a user-friendly gene expression-based prioritization system, to help investigators to determine in which human tissues they should look for an unseen protein. PepPSy can also be used by biocurators to revisit the annotation of specific categories of proteins based on the 'omics' data housed by the system. In this study, it was used to prioritize 21 dubious protein-coding genes among the 616 annotated in neXtProt for reannotation. PepPSy is freely available at http//peppsy.genouest.orgDatabase URL http//peppsy.genouest.org.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: User-Computer Interface / Proteins / Internet / Databases, Genetic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Database (Oxford) Year: 2016 Document type: Article Affiliation country: France
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: User-Computer Interface / Proteins / Internet / Databases, Genetic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Database (Oxford) Year: 2016 Document type: Article Affiliation country: France