Arun Sethuraman

This study examines how reduced watering affects hops growth and rhizospheric microbial communities across five cultivars, finding differential plant responses and consistent microbial associations with cultivar type.

CoalMiner generates coalescent models for fastsimcoal2 to improve demographic inference by exploring model space efficiently.

SaVor is a reproducible SV calling workflow tested on Arabidopsis thaliana genomes, showing trade-offs between precision and recall based on merge strategies.

The paper shows that Ks histograms can reveal or obscure ancient whole genome duplications depending on evolutionary and demographic factors.

The paper quantifies telomere content variation across 26 global human populations and finds significant differences between African-ancestry populations in the Americas and other superpopulations.

The paper introduces MULTICLUST, a fast maximum likelihood method for clustering multiallelic genotypes to infer genetic population structure, showing comparable accuracy and efficiency to existing methods.

This study investigates the evolutionary history and rhizosphere microbial communities of 98 hop cultivars, revealing four subpopulations and differences in growth and microbial composition between US and non-US cultivars.

This paper develops a machine learning model using telomeric data to predict tumor status across 33 cancer types, achieving 82.62% accuracy.

The paper introduces a forward-time polyploid genome evolution simulator to accurately infer WGD time and speciation parameters from Ks histograms, showing that existing methods are biased by allopolyploidy levels.

This study characterizes the microbial metagenome of calcareous stromatolites in San Felipe Creek, revealing functional adaptations to extreme desert conditions and potential impacts on mineral dynamics.

The paper presents the genome of Dinocampus coccinellae, revealing independent origins of thelytokous parthenogenesis and solitary behavior, along with accelerated gene evolution.

The Pop-gen Pipeline Platform provides a standardized software solution to streamline population genomic analyses by automating workflows and reducing computational barriers.