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SPiCE: a web-based tool for sequence-based protein classification and exploration.
van den Berg, Bastiaan A; Reinders, Marcel J T; Roubos, Johannes A; de Ridder, Dick.
Afiliação
  • van den Berg BA; Delft Bioinformatics Lab, Department of Intelligent Systems, Faculty Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628CD, Delft, The Netherlands. b.a.vandenberg@tudelft.nl.
BMC Bioinformatics ; 15: 93, 2014 Mar 31.
Article em En | MEDLINE | ID: mdl-24685258
BACKGROUND: Amino acid sequences and features extracted from such sequences have been used to predict many protein properties, such as subcellular localization or solubility, using classifier algorithms. Although software tools are available for both feature extraction and classifier construction, their application is not straightforward, requiring users to install various packages and to convert data into different formats. This lack of easily accessible software hampers quick, explorative use of sequence-based classification techniques by biologists. RESULTS: We have developed the web-based software tool SPiCE for exploring sequence-based features of proteins in predefined classes. It offers data upload/download, sequence-based feature calculation, data visualization and protein classifier construction and testing in a single integrated, interactive environment. To illustrate its use, two example datasets are included showing the identification of differences in amino acid composition between proteins yielding low and high production levels in fungi and low and high expression levels in yeast, respectively. CONCLUSIONS: SPiCE is an easy-to-use online tool for extracting and exploring sequence-based features of sets of proteins, allowing non-experts to apply advanced classification techniques. The tool is available at http://helix.ewi.tudelft.nl/spice.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Design de Software / Proteínas / Análise de Sequência de Proteína Idioma: En Revista: BMC Bioinformatics Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Design de Software / Proteínas / Análise de Sequência de Proteína Idioma: En Revista: BMC Bioinformatics Ano de publicação: 2014 Tipo de documento: Article