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Biodiversity Analysis of Metaproteomics Samples with Unipept: A Comprehensive Tutorial.
Van Den Bossche, Tim; Verschaffelt, Pieter; Vande Moortele, Tibo; Dawyndt, Peter; Martens, Lennart; Mesuere, Bart.
Afiliação
  • Van Den Bossche T; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
  • Verschaffelt P; VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium.
  • Vande Moortele T; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
  • Dawyndt P; VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium.
  • Martens L; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Mesuere B; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Methods Mol Biol ; 2836: 183-215, 2024.
Article em En | MEDLINE | ID: mdl-38995542
ABSTRACT
Metaproteomics has become a crucial omics technology for studying microbiomes. In this area, the Unipept ecosystem, accessible at https//unipept.ugent.be , has emerged as a valuable resource for analyzing metaproteomic data. It offers in-depth insights into both taxonomic distributions and functional characteristics of complex ecosystems. This tutorial explains essential concepts like Lowest Common Ancestor (LCA) determination and the handling of peptides with missed cleavages. It also provides a detailed, step-by-step guide on using the Unipept Web application and Unipept Desktop for thorough metaproteomics analyses. By integrating theoretical principles with practical methodologies, this tutorial empowers researchers with the essential knowledge and tools needed to fully utilize metaproteomics in their microbiome studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteômica / Biodiversidade / Microbiota Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteômica / Biodiversidade / Microbiota Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2024 Tipo de documento: Article