Author

Soyeon Ahn

The University of Texas at AustinORCID 0000-0003-3440-2027Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Haris VikaloiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsJournal of Computational BiologyPeer-reviewedFeb 26, 2018

aBayesQR: A Bayesian method for reconstruction of viral populations characterized by low diversity

Soyeon Ahn, Haris Vikalo

This paper introduces aBayesQR, a Bayesian method for reconstructing viral quasispecies from sequencing data, showing improved performance on low-diversity viral populations.

32 citations

bulk RNA-seqBayesian inference

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