iMetaLab Suite: A one-stop toolset for metaproteomics

Li, Leyuan, Ning, Zhibin, Cheng, Kai, Zhang, Xu, Simopoulos, Caitlin M.A. and Figeys, Daniel (2022) iMetaLab Suite: A one-stop toolset for metaproteomics. iMeta, 1 (2). pp. 1-7. ISSN 2770-5986

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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.

Item Type:	Article
Additional Information:	All LC‐MS/MS sequencing data have been deposited tothe ProteomeXchange Consortium via the PRIDE part-ner repository under submission number PXD033624.The database search results and reports are saved inGitHub (https://github.com/northomics/iMetaLab_paper).Supporting Information materials (graphical abstract,slides, videos, Chinese translated version, and updatematerials) may be found in the online DOI or iMetaScience http://www.imeta.science/.
Uncontrolled Keywords:	bioinformatics,database search,metaproteomics,microbiome,statistical analysis,visualization,biotechnology,microbiology ,/dk/atira/pure/subjectarea/asjc/1300/1305
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	06 Mar 2026 15:30
Last Modified:	09 Mar 2026 16:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/102245
DOI:	10.1002/imt2.25

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