Author

Andrew C. Nichols

ORCID 0000-0002-9212-2843Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:software / tool· 2 Approach:statistical model· 1

Frequent Co-Authors

Iman Mohtashemi· 2 shared Janos Kis· 2 shared Jian WangiD· 2 shared Lee S. CantrelliD· 2 shared Serafim BatzoglouiD· 2 shared Seth JustiD· 2 shared Harendra GuturuiD· 1 shared Omid Cameron FarokhzadiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Iman Mohtashemi

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 15, 2026

Radiant DIA: A Fast, Sensitive, and Accurate Search Engine for Quantitative Proteomics

Seth Just, Lee S. Cantrell, Andrew Nichols…·Serafim Batzoglou

Radiant DIA is a fast and cost-effective search engine for proteomics that maintains accuracy and sensitivity, enabling efficient analysis of large-scale datasets.

1 citation

proteomicsexperimental assay

𝕏 PostBluesky

BioinformaticsJournal of Proteome ResearchPeer-reviewedFeb 13, 2025

Cloud-enabled Scalable Analysis of Large Proteomics Cohorts

Harendra Guturu, Andrew C. Nichols, Lee S. Cantrell…·Serafim Batzoglou

The paper presents a scalable MBR algorithm for proteomics cohort analysis, enabling faster processing of large datasets with results comparable to existing methods.

5 citations

proteomicsstatistical model

𝕏 PostBluesky