Linda Goodman

The paper analyzes empty drops in scRNA-seq to identify sequencing artifacts and reveals the prevalence of neuropeptide mRNA, suggesting potential physiological relevance.

DEPower provides a web tool for power analysis in RNA-seq experiments based on DESeq2 assumptions, enabling researchers to determine sample size requirements for detecting differential expression.

The paper reports endogenous XIST expression in male heart samples across multiple single-cell RNA sequencing studies and links it to heart disease and myocardial infarction.

The paper identifies proteins and regulatory elements associated with vocal learning by analyzing bat neural activity and epigenomic data.

TOGA integrates gene annotation and orthology inference across hundreds of genomes, improving ortholog detection and creating large comparative gene resources.

A machine learning approach identifies enhancer-phenotype associations across mammals, revealing links to brain size and behavior evolution.

The paper curates TE content in 248 mammalian genomes, finding trends in recent TE accumulation and associations with dietary habits.

A 240-species placental mammal alignment resolves constraint to single bases, estimating at least 10.7% of the human genome is constrained, with 48.5% of constrained bases unannotated.

The paper uses evolutionary constraint scores to identify functional genomic regions and finds they are enriched for variants associated with common diseases.

The paper identifies bats as a hotspot for horizontal transfer of DNA transposons, finding over 200 putative elements and shared transposons across mammals and reptiles.