Michael A. Black

The paper assesses genomic indicators of gene function in the human genome, finding that transcriptional activity and evolutionary conservation are strongest predictors of functional regions.

The paper develops microhaplotype-based kinship estimation methods for autopolyploid populations and shows they outperform SNP-based methods in Actinidia.

This study evaluates protein-coding sequence detection tools, finding most are inaccurate and inefficient, with only three out of nine performing better than a naive scheme.

This study shows that RADseq can be a cost-effective and accurate method for estimating tumour mutation burden and analyzing mutation signatures compared to existing methods.

This paper evaluates factors predicting bioinformatic software accuracy and finds that sustained development, not citations or journal impact, is most indicative of accuracy.

The paper introduces graphsim, an R package that simulates gene expression data from biological pathway graphs to aid in method validation.

The paper identifies stress-induced epigenetic and transcriptomic changes driving sex change in bluehead wrasses.

The paper identifies a high rate of rare copy number variants in women with earthquake-induced stress cardiomyopathy, suggesting potential genetic predisposition.

The paper introduces GUSMap, a method to construct accurate genetic maps from low coverage sequencing data by accounting for sequencing and genotyping errors in biparental outcrossed populations.