Author

Michael Kubal

Illumina (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· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Aaron M. Hamby· 1 shared Chase T. McFarlandiD· 1 shared Cheng ZhangiD· 1 shared Enrique C. TorchiaiD· 1 shared Frank Shih-Chang Ong· 1 shared James F. FlynniD· 1 shared Jonathan Sheridan· 1 shared Ju-Yuan Chang· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenomics

Aaron M. Hamby

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2 papers

Recent·Most cited

Evaluating a Standard Benchmark for Gene Prioritization: The InheriNext(R) Algorithm's Integration of Genomic and Phenotypic Information

Ju-Yuan Chang, Kuan-Tsung Li, Yu-Shen Tsai, Michael Kubal, Aaron M. Hamby, Naomi Thomson, Jonathan Sheridan, Shiloh Barfield, Randy Rutz, Frank Shih-Chang Ong, Ramon M. Felciano, Scott Kahn, Shao‐Min Wu

This study benchmarks the InheriNext(R) algorithm for pathogenic variant prioritization using 7,244 whole exome test cases, showing 98.6% sensitivity and consistent performance across diverse scenarios.

bioRxiv · Feb 25, 2025 · PreprintGenomics

Crowdsourcing Temporal Transcriptomic Coronavirus Host Infection Data: resources, guide, and novel insights.

James F. Flynn, Mehdi M. Ahmadi, Chase T. McFarland, Michael Kubal, Mark A. Taylor, Cheng Zhang, Enrique C. Torchia, Michael G. Edwards

This study uses existing transcriptomic data and crowdsourcing to derive temporal host response signatures for SARS-CoV-1 and SARS-CoV-2, identifying key genes and potential treatments.

Biology Methods and Protocols · Jan 1, 2023Peer-reviewedBioinformatics