MetaNovo

adjacent · Hybrid de novo + database search

MetaNovo: adjacent · Hybrid de novo + database search. Matches de novo sequence tags against the whole UniProt knowledgebase and probabilistically ranks proteins to create a tailored database for metaproteomic target-decoy…

Matches de novo sequence tags against the whole UniProt knowledgebase and probabilistically ranks proteins to create a tailored database for metaproteomic target-decoy searches, without prior knowledge of sample composition.

Kind	adjacent
Deep learning	no
Acquisition	DDA
Family	Hybrid de novo + database search

Data

What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.

Deposited

• MetaNovo : an open-source pipeline for probabilistic peptide discovery in complex metaproteomic datasets (as deposited) · 2019 preprint, 2023 peer-reviewed

Papers describing it (2)

• MetaNovo: a probabilistic approach to peptide discovery in complex metaproteomic datasets (2019, bioRxiv, preprint)
• MetaNovo: An open-source pipeline for probabilistic peptide discovery in complex metaproteomic datasets (2023, PLOS Computational Biology, peer-reviewed)

Authors (8)

Matthys G. Potgieter, Andrew J. M. Nel, Suereta Fortuin, Shaun Garnett, Jerome M. Wendoh, David L. Tabb, Nicola J. Mulder, Jonathan M. Blackburn

Seen in the charts

• The architectures
• Models and the authors behind them

Back to the full map