Unipept CLI

Unipept CLI infers taxonomic origin and functional annotations for peptides from shotgun metaproteomics to characterize the taxonomic composition and functional capabilities of microbial communities.


Key Features:

  • Taxonomic analysis: Infers proteins from identified peptides and assigns taxonomic origin using peptide-to-protein mappings.
  • Functional analysis: Retrieves Enzyme Commission numbers, Gene Ontology terms, and InterPro entries for peptides to provide functional annotation.
  • Visualization generation: Generates visualizations from lists of taxon IDs for downstream analysis.
  • Input support: Processes single peptides or sets of peptides derived from shotgun metaproteomics experiments.
  • Database-driven mapping: Uses a comprehensive sequence database for peptide-to-protein and taxon assignment.

Scientific Applications:

  • Metaproteomic taxonomic profiling: Determining the taxonomic composition of microbial communities from shotgun metaproteomics peptides.
  • Functional profiling: Annotating peptides with EC numbers, GO terms, and InterPro entries to infer enzymatic activities and functional capabilities of microbiomes.

Methodology:

Processes identified peptides to infer proteins and assign taxonomic origin using a comprehensive database, and links peptides to Enzyme Commission numbers, Gene Ontology terms, and InterPro entries for functional annotation.

Topics

Collections

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Ruby
Added:
10/18/2017
Last Updated:
9/3/2020

Operations

Publications

Mesuere B, Van der Jeugt F, Willems T, Naessens T, Devreese B, Martens L, Dawyndt P. High-throughput metaproteomics data analysis with Unipept: A tutorial. Journal of Proteomics. 2018;171:11-22. doi:10.1016/j.jprot.2017.05.022. PMID:28552653.

Verschaffelt P, Van Thienen P, Van Den Bossche T, Van der Jeugt F, De Tender C, Martens L, Dawyndt P, Mesuere B. Unipept CLI 2.0: adding support for visualizations and functional annotations. Bioinformatics. 2020;36(14):4220-4221. doi:10.1093/bioinformatics/btaa553. PMID:32492134.

PMID: 32492134
Funding: - Research Foundation—Flanders: 1164420N, 12I5220N, 12S9418N, 1S90918N, G042518N

Documentation

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