Author

Chase M. Clark

University of Wisconsin–MadisonORCID 0000-0001-6439-9397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Approach:experimental assay· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:multiome· 1 Approach:statistical model· 1

Frequent Co-Authors

Jason C. KwaniD· 2 shared Abigail F. ScottiD· 1 shared Adriana BlachowicziD· 1 shared Alessandra S. EustáquioiD· 1 shared Andrew J. LailiD· 1 shared Antonio Bencomo HernándeziD· 1 shared Barbara I. AdaikpohiD· 1 shared Brian T. MurphyiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Jason C. KwanORCID

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Author profile →

3 papers

Recent·Most cited

IDBac: an open-access web platform and compendium for the identification of bacteria by MALDI-TOF mass spectrometry.

Nyssa K. Krull, Michael J. Strobel, Julia Saulog, Liana Zaroubi, Bruno Sachetto Paulo, Mandisa Timba, Douglas R. Braun, Gabrielle Mingolelli, Jessia Raherisoanjato, Robert A. Shepherd, Abigail F. Scott, Carlo De Silva, Claire H. Fergusson, Zachary Daniel, Sriya Pokharel, , Brian T. Murphy

IDBac provides a centralized database and platform for bacterial identification via MALDI-TOF MS, enabling spectral comparison and analysis of bacterial isolates.

Nature Communications · Jul 22, 2026Peer-reviewedMicrobiology

Creating and leveraging bespoke large-scale knowledge graphs for comparative genomics and multi-omics drug discovery with SocialGene

Chase M. Clark, Jason C. Kwan

SocialGene creates and leverages knowledge graphs for multi-omics data analysis in genomics and drug discovery, enabling integration and exploration of diverse datasets.

bioRxiv · Aug 16, 2024 · PreprintBioinformatics

Autometa 2: A versatile tool for recovering genomes from highly-complex metagenomic communities

Evan R. Rees, Siddharth Uppal, Chase M. Clark, Andrew J. Lail, Samantha C. Waterworth, Shane Roesemann, Kyle Wolf, Jason C. Kwan

Autometa 2 improves genome recovery from metagenomic data by simplifying installation, adding a GUI, and enhancing performance through parameter optimization.

bioRxiv · Sep 1, 2023 · PreprintBioinformatics