Author

Andy T. Kong

University of MichiganORCID 0000-0002-4708-7815Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:software / tool· 2 Research Focus:variant calling· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:imputation· 1

Frequent Co-Authors

Alexey I. NesvizhskiiiD· 3 shared Fengchao YuiD· 3 shared Daniel GeiszleriD· 1 shared Dmitry M. AvtonomoviD· 1 shared Felipe da Veiga LeprevostiD· 1 shared Ginny Xiaohe LiiD· 1 shared Guo Ci TeoiD· 1 shared Vadim DemicheviD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Alexey I. NesvizhskiiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 24, 2025

PepCentric Enables Fast Repository-Scale Proteogenomics Searches

Fengchao Yu, Andy T. Kong, Yi Hsiao, Alexey I. Nesvizhskii

PepCentric enables fast proteogenomics searches across large mass spectrometry datasets by using 2-D fragment indexing to validate novel peptides and proteomic variations.

4 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 28, 2022

One-stop analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform

Fengchao Yu, Guo Ci Teo, Andy T. Kong…·Alexey I. Nesvizhskii

The paper introduces MSFragger-DIA, a tool for fast and sensitive peptide identification from DIA proteomics data, integrated into FragPipe, and demonstrates its performance across various sample types.

10 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedDec 1, 2020

PTM-Shepherd: analysis and summarization of post-translational and chemical modifications from open search results

Daniel Geiszler, Andy T. Kong, Dmitry M. Avtonomov…·Alexey I. Nesvizhskii

PTM-Shepherd automates analysis of post-translational modifications from open search proteomics data, improving detection of artifacts and biases across experiments.

146 citationstop 2%

proteomicsstatistical model

𝕏 PostBluesky