Your browser doesn't support javascript.
loading
iMetaLab Suite: A one-stop toolset for metaproteomics.
Li, Leyuan; Ning, Zhibin; Cheng, Kai; Zhang, Xu; Simopoulos, Caitlin M A; Figeys, Daniel.
Affiliation
  • Li L; School of Pharmaceutical Sciences, Faculty of Medicine University of Ottawa Ottawa Ontario Canada.
  • Ning Z; Ottawa Institute of Systems Biology University of Ottawa Ottawa Ontario Canada.
  • Cheng K; School of Pharmaceutical Sciences, Faculty of Medicine University of Ottawa Ottawa Ontario Canada.
  • Zhang X; Ottawa Institute of Systems Biology University of Ottawa Ottawa Ontario Canada.
  • Simopoulos CMA; School of Pharmaceutical Sciences, Faculty of Medicine University of Ottawa Ottawa Ontario Canada.
  • Figeys D; Ottawa Institute of Systems Biology University of Ottawa Ottawa Ontario Canada.
Imeta ; 1(2): e25, 2022 Jun.
Article de En | MEDLINE | ID: mdl-38868572
ABSTRACT
Metaproteomics is a recently thriving technique that studies the collection of proteins in complex microbiomes of the human, animal, plant, and environment. The bioinformatics workflow required for metaproteomics research, from the database search and protein quantification to downstream functional and taxonomic analysis has been challenging and thus limiting the accessibility of metaproteomics to microbiome researchers. To overcome these challenges, we have developed a set of tools named iMetaLab Suite. iMetaLab Suite includes the following components (1) MetaLab Desktop, an automated database search software that facilities proteins identification and quantitation from microbiomes; (2) the automated iMetaReport that allows users to quickly access database search results and data set profiles; and (3) an interactive online toolset, iMetaShiny, covering most frequently used functional, taxonomic, and statistical analysis in metaproteomics. iMetaLab Suite is a free, easily accessible, and actively updated toolset available to assist researchers to explore metaproteomic data.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Imeta Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Imeta Année: 2022 Type de document: Article