Author

Cole Tindall

Data Tecnica International (United States)

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· 2 Genetic & Genomic Medicine· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:database / resource· 2 Assay:proteomics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Mike A. NallsiD· 3 shared Benjamin JiniD· 2 shared Cory A. WelleriD· 2 shared Isabelle KowaliD· 2 shared Jacob EpsteiniD· 2 shared Mark CooksoniD· 2 shared Ying HaoiD· 2 shared Alexandra G. BeilinaiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBioinformatics

Mike A. NallsORCID

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Author profile →

4 papers

Recent·Most cited

ProtPipe2: Multi-Platform Downstream Proteomics Analysis Tool

Jacob Epstein, Cory A. Weller, Isabelle Kowal, Ying Hao, Cole Tindall, Benjamin Jin, Mark Cookson, Mike A. Nalls, Ziyi Li, Yue A. Qi

ProtPipe2 provides a unified framework for downstream proteomics analysis across mass spectrometry, Olink, and SomaScan platforms, enabling consistent workflows and reusable analyses.

bioRxiv · Sep 21, 2026 · PreprintBioinformatics

Making Accelerating Medicines Partnership Data Findable and Interoperable through a Common Data Model: Extending OMOP for Multi-Source Multimodal Data

Cole Tindall, Rodney Alan Long, Bartholomew J. Naughton, Brandy M. Mapes, David Vismer, Halcyon G. Skinner, Jessica Malenfant, Mano Ram Maurya, Mike A. Nalls, Srinivasan Ramachandran, Trang Thi Huyen Nguyen, Mette A. Peters, Richard H. Scheuermann

The paper extends the OMOP Common Data Model to support multimodal data integration across AMP projects by adding extension tables and a CDE Registry.

medRxiv · Sep 2, 2026 · PreprintGenetic & Genomic Medicine

Large-scale HLA immunopeptidome and interactome profiling in microglia

Sydney Klaisner, Ying Hao, Alexandra G. Beilina, Jae Hyeon Park, Ziyi Li, Michiyo Iba, Cole Tindall, Benjamin Jin, Jacob Epstein, Isabelle Kowal, Caroline B. Pantazis, Nicole Carmiol, Paige Jarreau, Nicole Washecka, Cory A. Weller, , Yue Andy Qi

The paper profiles HLA immunopeptidomes and interactomes in microglia, identifying disease-associated epitopes and their interactions.

bioRxiv · Apr 23, 2025 · PreprintImmunology

RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from genes, proteins, and metabolites

John C. Braisted, Andrew C. Patt, Cole Tindall, Timothy K. Sheils, Jorge Neyra, Kyle Spencer, Tara Eicher, Ewy A. Mathé

RaMP-DB 2.0 provides an updated database and tools for functional interpretation of metabolomic and multi-omic data, with enhanced annotations and enrichment analysis capabilities.

Bioinformatics · Nov 14, 2022Peer-reviewedBioinformatics