Author

Gautam Saxena

ORCID 0009-0003-8847-5595Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Organism:mouse· 1

Frequent Co-Authors

Aleksandra BinekiD· 2 shared Jennifer E. Van EykiD· 2 shared Aaron RobinsoniD· 1 shared Benjamin Aaron GarciaiD· 1 shared Birgit SchillingiD· 1 shared Brian C. SearleiD· 1 shared George RosenbergeriD· 1 shared José María MatoiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Aleksandra BinekORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Proteome ResearchPeer-reviewedFeb 4, 2026

Quantifying the ~75-95% of Peptides in DIA-MS Datasets that were not Previously Quantified

Gautam Saxena, Qin Fu, Aleksandra Binek, Jennifer E. Van Eyk

The paper introduces an algorithm called GoldenHaystack that improves peptide quantification in DIA-MS data by quantifying previously unquantified peptides and achieving faster runtime.

1 citation

proteomicsstatistical model

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Systems BiologyJournal of Proteome ResearchPeer-reviewedSep 23, 2020

Quantitative Method for Assessing the Role of Lysine & Arginine Post-Translational Modifications in Nonalcoholic Steatohepatitis

Aaron Robinson, Aleksandra Binek, Vidya Venkatraman…·Jennifer E. Van Eyk

The paper introduces a method to quantify lysine and arginine PTMs in NASH using mass spectrometry and applies it to mouse liver lysates, finding altered methylation and acetylation in NASH.

27 citations

mouseproteomics

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