Elizabeth M. Ross

This study compares metagenomic pipelines for predicting methane emissions in sheep using functional and taxonomic features, finding COG-based functional features provide the highest accuracy.

This study examines DNA methylation patterns in Xylanibacter ruminicola from bovine rumen across seasons and pregnancy, finding environmental factors influence methylation signatures.

This study identifies genome-wide DNA methylation changes in E. coli under different growth conditions using Oxford Nanopore sequencing, showing differential methylation patterns in response to environmental stress.

This study investigates whether oral microbiome profiles can serve as a non-invasive proxy for estimating methane emissions in grazing cattle, finding that microbial function explains a meaningful proportion of methane variation.

The paper compares mate-allocation strategies in sugarcane breeding that use additive and non-additive genetic effects to maximize clonal performance and reduce inbreeding.

The paper presents a high-quality genome assembly of Brahman cattle using long-read sequencing and identifies structural variants and gene copy number variations associated with immune function.

This paper demonstrates that low-coverage Oxford Nanopore sequencing can accurately predict genomic breeding values in cattle, comparable to SNP array-based methods, with potential for on-farm or clinical use.

Prowler improves Oxford Nanopore sequence data quality by retaining phase and read length information, leading to better alignment accuracy but slightly reduced assembly contiguity.

QuAdTrim improves HTS data quality control by being faster and more memory-efficient than existing tools.