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Cloud prediction of protein structure and function with PredictProtein for Debian.
Kaján, László; Yachdav, Guy; Vicedo, Esmeralda; Steinegger, Martin; Mirdita, Milot; Angermüller, Christof; Böhm, Ariane; Domke, Simon; Ertl, Julia; Mertes, Christian; Reisinger, Eva; Staniewski, Cedric; Rost, Burkhard.
Afiliação
  • Kaján L; TUM, Department of Informatics, Bioinformatics & Computational Biology-I12, Garching, Germany. lkajan@rostlab.org
Biomed Res Int ; 2013: 398968, 2013.
Article em En | MEDLINE | ID: mdl-23971032
ABSTRACT
We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linguagens de Programação / Software / Proteínas / Modelos Moleculares / Internet / Modelos Químicos / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linguagens de Programação / Software / Proteínas / Modelos Moleculares / Internet / Modelos Químicos / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2013 Tipo de documento: Article