Author

Mitchell Gray

University of Wisconsin–Madison

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Lauren G. FieldsiD· 2 shared Lingjun LiiD· 2 shared Tina C. DangiD· 2 shared Angel E. IbarraiD· 1 shared Satirtha Saha ProtyaiD· 1 shared Wenxin WuiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Lauren G. FieldsORCID

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2 papers

Recent·Most cited

EndoGenius: Enabling comprehensive identification and quantitation of endogenous peptides

Lauren G. Fields, Tina C. Dang, Mitchell Gray, Satirtha Saha Protya, Lingjun Li

EndoGenius identifies and quantifies endogenous peptides from mass spectrometry data using a pipeline for spectral library building and motif extraction.

bioRxiv · Jun 12, 2025 · PreprintBioinformatics

Unlocking the Neuropeptidome using a Novel Endogenous Peptidomics Framework

Lauren G. Fields, Wenxin Wu, Tina C. Dang, Angel E. Ibarra, Mitchell Gray, Lingjun Li

The paper introduces a novel peptidomics framework, EndoGenius, paired with DIA-NN, to identify neuropeptides in Cancer borealis with a 100-fold increase in detection.

bioRxiv · Jun 12, 2025 · PreprintNeuroscience