Loan T Nguyen

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.

The paper identifies 354,937 novel lncRNAs across 13 cancer types using single-cell and spatial transcriptomics, revealing their cell-type specificity, spatial distribution, and potential functional roles.

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.

The paper introduces a method to analyze genome-wide co-expression distributions to identify genes with functional importance by comparing distribution shapes across species.