Author

Eugene A. Kapp

The University of MelbourneORCID 0000-0002-3283-4259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrew CollinsiD· 1 shared Andrew Ian WebbiD· 1 shared Emanuele AlpiiD· 1 shared Eric W. DeutschiD· 1 shared Gerben MenschaertiD· 1 shared Gerhard MayeriD· 1 shared Giuseppe InfusiniiD· 1 shared Harald BarsnesiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Andrew CollinsORCID

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2 papers

Recent·Most cited

Proteomics Standards Initiative Extended FASTA Format (PEFF)

Pierre‐Alain Binz, Jim Shofstahl, Juan Antonio Vizcaíno, Harald Barsnes, Robert J. Chalkley, Gerben Menschaert, Emanuele Alpi, Karl R. Clauser, Jimmy K. Eng, Lydie Lane, Sean L. Seymour, Luis Francisco Hernández Sánchez, Gerhard Mayer, Martin Eisenacher, Yasset Pérez‐Riverol, , Eric W. Deutsch

The paper introduces PEFF, a new format for proteomics data that enhances FASTA with metadata for sequence variants and PTMs, enabling better analysis in proteogenomics and top-down proteomics.

Journal of Proteome Research · May 13, 2019Peer-reviewedBioinformatics

MSCypher: an integrated database searching and machine learning workflow for multiplexed proteomics.

Eugene A. Kapp, Giuseppe Infusini, Yunshan Zhong, Laura F. Dagley, Terence Paul Speed, Andrew Ian Webb

MSCypher improves proteomics analysis by integrating database searching with machine learning to enhance identification rates and handle multiplexed spectra.

bioRxiv · Aug 22, 2018 · PreprintBioinformatics