Lindsay V. Clark

This study identifies PE/PPE proteins in Mycobacterium tuberculosis as contributors to drug resistance through genetic association and in vitro experiments.

This study evaluates MTME genomic prediction models for Miscanthus sacchariflorus, finding they improve prediction for some traits but not all, depending on the cross-validation scenario.

This study evaluates sparse testing designs for genomic prediction in Miscanthus breeding to reduce phenotyping costs while maintaining predictive accuracy.

This study optimizes genomic prediction in Miscanthus sacchariflorus by incorporating weather data to improve model performance across different locations.

The paper evaluates cross-validation schemes for genomic selection in perennial Miscanthus species, showing improved predictive ability by incorporating genotype-by-environment interactions.

The paper shows that deleting miR-9-2 causes cerebral hemorrhage and hydrocephalus by disrupting cell-type-specific gene networks in neurodevelopment.

This study identifies known pathogenic variants and new candidates in SUID using WGS, highlighting genetic factors related to heart disease and redox metabolism.

H3AGWAS provides a scalable and portable workflow for conducting GWAS, enabling pre-association, association testing, and post-association analysis with containerized software.

The paper introduces a statistic to filter paralogs in genotyping-by-sequencing data from duplicated genomes, enabling efficient locus filtering before genotype calling.

This study examines the transcriptomic and methylomic changes in honey bee pupae infected with IAPV over time, revealing dynamic gene expression and DNA methylation patterns associated with immune responses and viral manipulation.

polyRAD improves genotype calling in polyploids and diploids by using Bayesian methods with flexible priors, reducing errors from low read depth and improving genotype accuracy.