Author

Sarvar A. Kakhkhorov

University of CopenhagenORCID 0000-0002-4698-8793Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 3 Research Focus:database / resource· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Organism:plant (other)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Alan K. JarmuschiD· 2 shared Daniel PetrasiD· 2 shared Justin J. J. van der HooftiD· 2 shared Kyo Bin KangiD· 2 shared Mingxun WangiD· 2 shared Paulo Wender Portal GomesiD· 2 shared Pieter C. DorresteiniD· 2 shared Robin SchmidiD· 2 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alan K. JarmuschORCID

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3 papers

Recent·Most cited

Untargeted metabolomics reveals farming practice- and cultivar-driven modulations of pea (Pisum sativum L.) seed metabolome

Sarvar A. Kakhkhorov, Søren Balling Engelsen, Kristian Holst Laursen, Bekzod Khakimov

This study uses untargeted metabolomics to show that farming practices and cultivar types significantly influence the metabolome of pea seeds.

bioRxiv · Jun 23, 2025 · PreprintPlant Biology

Open Access Repository-Scale Propagated Nearest Neighbor Suspect Spectral Library for Untargeted Metabolomics

Wout Bittremieux, Nicole E. Avalon, Sydney P. Thomas, Sarvar A. Kakhkhorov, Alexander A. Aksenov, Paulo Wender Portal Gomes, Christine M. Aceves, Andrés Mauricio Caraballo‐Rodríguez, Julia M. Gauglitz, William H. Gerwick, Tao Huan, Alan K. Jarmusch, Rima F Kaddurah-Daouk, Kyo Bin Kang, Hyun Woo Kim, , Pieter C. Dorrestein

The paper creates a suspect spectral library for untargeted metabolomics by propagating annotations from public MS/MS spectra to improve interpretation of unannotated spectra.

Nature Communications · Dec 20, 2023Peer-reviewedBioinformatics

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