Author

Tito Damiani

Czech Academy of SciencesORCID 0000-0002-4616-900XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 4 Research Focus:database / resource· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Benjamin P. BoweniD· 3 shared Haoqi Nina ZhaoiD· 3 shared Mingxun WangiD· 3 shared Pieter C. DorresteiniD· 3 shared Tomáš PluskaliD· 3 shared Trent R. NortheniD· 3 shared Alan K. JarmuschiD· 2 shared Allegra T. AroniD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Benjamin P. BowenORCID

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Author profile →

4 papers

Recent·Most cited

The Everything Bagel Feature Finder: Ultra-fast automated feature finding for untargeted metabolomics

Yourae Shin, Yasin El Abiead, Alan K. Jarmusch, Michael J. Strobel, Paul E. Abraham, S.G. Thurmon, Deepa D. Acharya, Allegra T. Aron, Aivett Bilbao Pena, Benjamin P. Bowen, Corey D. Broeckling, Christopher J. Brown, Vincent Charron‐Lamoureux, Xingyuan Chen, Tito Damiani, , Mingxun Wang

The Everything Bagel feature finder automates metabolomics data processing, achieving comparable or better performance than existing methods with significantly reduced computational time.

bioRxiv · Aug 21, 2026 · PreprintBioinformatics

Computational metabolomics reveals overlooked chemodiversity of alkaloid scaffolds in Piper fimbriulatum

Tito Damiani, Joshua David Smith, Téo Hebra, Milana Perković, Marijo Čičak, Alžběta Kadlecová, Vlastimil Rybka, Martin Dračínský, Tomáš Pluskal

This study uses computational metabolomics to discover novel alkaloids in Piper fimbriulatum, revealing previously overlooked chemodiversity in the Piperaceae family.

The Plant Journal · Mar 1, 2025Peer-reviewedPlant Biology

plantMASST - Community-driven chemotaxonomic digitization of plants

Paulo Wender Portal Gomes, Helena Mannochio-Russo, Robin Schmid, Simone Zuffa, Tito Damiani, Luis-Manuel Quirós-Guerrero, Andrés Mauricio Caraballo‐Rodríguez, Haoqi Nina Zhao, Heejung Yang, Shipei Xing, Vincent Charron‐Lamoureux, Desnor N. Chigumba, Brian E. Sedio, Jonathan A. Myers, Pierre‐Marie Allard, , Pieter C. Dorrestein

The paper curates LC-MS/MS data from plant extracts to create a taxonomically focused database for exploring plant-derived molecules.

bioRxiv · May 13, 2024 · PreprintPlant Biology

A Universal Language for Finding Mass Spectrometry Data Patterns

Alan K. Jarmusch, Allegra T. Aron, Daniel Petras, Vanessa V. Phelan, Wout Bittremieux, Deepa D. Acharya, Mohammed M. A. Ahmed, Anelize Bauermeister, Matthew J. Bertin, Paul D. Boudreau, Ricardo M. Borges, Benjamin P. Bowen, Christopher J. Brown, Fernanda O. Chagas, Kenneth D. Clevenger, , Mingxun Wang

MassQL, an open-source query language, lets users search raw mass spectrometry data from any vendor for isotope, fragmentation and neutral-loss patterns, from one file to entire public repositories.

bioRxiv · Aug 6, 2022 · PreprintBioinformatics✦ In-depth digest