Author

Cooper Koers

Princeton UniversityORCID 0009-0008-5214-917XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Huixin XuiD· 2 shared Joshua M. AkeyiD· 2 shared Rob BiermaniD· 2 shared Claire D. McWhiteiD· 1 shared Dayna T. Akey· 1 shared Troy J. ComiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersEvolutionary Biology

Huixin XuORCID

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintAug 28, 2025

MutagenesisForge: A Framework for Modeling Codon-Level Mutational Biases and Calculating dN/dS

Cooper Koers, Rob Bierman, Huixin Xu, Joshua M. Akey

MutagenesisForge simulates codon-level mutagenesis and calculates dN/dS ratios under user-defined conditions to test evolutionary hypotheses.

DOI 10.1101/2025.08.28.667654

DNA methylationwhole-genome sequencing

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GenomicsbioRxivPreprintJan 7, 2025

Landscape of human protein-coding somatic mutations across tissues and individuals

Huixin Xu, Rob Bierman, Dayna T. Akey…·Joshua M. Akey

The paper analyzes somatic mutations across tissues and individuals using exome sequencing data from GTEx donors, identifying 8,470 variants and providing insights into mutation rates and mechanisms.

2 citations

humanwhole-exome sequencing

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