Author

A. Larrea

European Bioinformatics InstituteORCID 0000-0001-9107-4299Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:software / tool· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Chengxin DaiiD· 2 shared Henry Emanuel WebeliD· 2 shared Oliver KohlbacheriD· 2 shared Timo T. SachsenbergiD· 2 shared Yasset Pérez‐RiveroliD· 2 shared Chakradhar BandlaiD· 1 shared Chris BielowiD· 1 shared Fengchao YuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Chengxin DaiORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedFeb 18, 2026

pmultiqc: An open-source, lightweight, and metadata-oriented QC reporting library for MS proteomics

Qi-Xuan Yue, Chengxin Dai, Selvakumar Kamatchinathan…·Yasset Pérez‐Riverol

pmultiqc generates metadata-aware QC reports for proteomics data using standardized metrics and integrates with existing workflows and cloud services.

5 citationstop 2%

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 12, 2026

quantms-rescoring enables deep proteome coverage across protein quantification, immunopeptidomics, and post-translational modifications experiments.

Chengxin Dai, Ralf Gabriels, Robbin Bouwmeester…·Yasset Pérez‐Riverol

quantms-rescoring improves proteomics analysis by integrating multiple search engines and machine learning, increasing identified spectra and quantifying more phosphorylated peptides and modification sites.

DOI 10.64898/2026.01.12.698877

proteomicsmachine learning (classical)

𝕏 PostBluesky