Your browser doesn't support javascript.
loading
mPies: a novel metaproteomics tool for the creation of relevant protein databases and automatized protein annotation.
Werner, Johannes; Géron, Augustin; Kerssemakers, Jules; Matallana-Surget, Sabine.
Afiliación
  • Werner J; Department of Biological Oceanography, Leibniz Institute of Baltic Sea Research, Seestraße 15, D-18119, Rostock, Germany. johannes.werner@io-warnemuende.de.
  • Géron A; Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.
  • Kerssemakers J; Proteomic and Microbiology Department, University of Mons, 7000, Mons, Belgium.
  • Matallana-Surget S; Omics IT and Data Management, German Cancer Research Center, 69120, Heidelberg, Germany.
Biol Direct ; 14(1): 21, 2019 11 14.
Article en En | MEDLINE | ID: mdl-31727118
ABSTRACT
Metaproteomics allows to decipher the structure and functionality of microbial communities. Despite its rapid development, crucial steps such as the creation of standardized protein search databases and reliable protein annotation remain challenging. To overcome those critical steps, we developed a new program named mPies (metaProteomics in environmental sciences). mPies allows the creation of protein databases derived from assembled or unassembled metagenomes, and/or public repositories based on taxon IDs, gene or protein names. For the first time, mPies facilitates the automatization of reliable taxonomic and functional consensus annotations at the protein group level, minimizing the well-known protein inference issue, which is commonly encountered in metaproteomics. mPies' workflow is highly customizable with regards to input data, workflow steps, and parameter adjustment. mPies is implemented in Python 3/Snakemake and freely available on GitHub https//github.com/johanneswerner/mPies/. REVIEWER This article was reviewed by Dr. Wilson Wen Bin Goh.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteoma / Bases de Datos de Proteínas / Proteómica / Anotación de Secuencia Molecular Idioma: En Revista: Biol Direct Año: 2019 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteoma / Bases de Datos de Proteínas / Proteómica / Anotación de Secuencia Molecular Idioma: En Revista: Biol Direct Año: 2019 Tipo del documento: Article País de afiliación: Alemania
...