Connecting MetaProteomeAnalyzer and PeptideShaker to Unipept for Seamless End-to-End Metaproteomics Data Analysis
Author(s) -
Tim Van Den Bossche,
Pieter Verschaffelt,
Kay Schallert,
Harald Barsnes,
Peter Dawyndt,
Dirk Benndorf,
Bernhard Y. Renard,
Bart Mesuere,
Lennart Martens,
Thilo Muth
Publication year - 2020
Publication title -
journal of proteome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/acs.jproteome.0c00136
Subject(s) - metaproteomics , end to end principle , computer science , field (mathematics) , pigging , end user , pipeline transport , database , data mining , data science , pipeline (software) , metagenomics , engineering , world wide web , biology , artificial intelligence , biochemistry , gene , mathematics , environmental engineering , pure mathematics , programming language
Although metaproteomics, the study of the collective proteome of microbial communities, has become increasingly powerful and popular over the past few years, the field has lagged behind on the availability of user-friendly, end-to-end pipelines for data analysis. We therefore describe the connection from two commonly used metaproteomics data processing tools in the field, MetaProteomeAnalyzer and PeptideShaker, to Unipept for downstream analysis. Through these connections, direct end-to-end pipelines are built from database searching to taxonomic and functional annotation.
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