David J. Galas

This paper introduces a framework for quantitative genetics based on information theory, presenting measures for genetic quantities like heritability and epistasis.

The paper identifies allele frequency mismatches and apparent mismappings in UK Biobank SNP data by comparing them to other UK studies and analyzing interchromosomal linkages.

This paper introduces a dynamic mode decomposition method to extract time-resolved resting state networks from fMRI data, showing improved reproducibility and individualized structure.

The paper introduces a computational method and software to identify sister spores from meiotic tetrads using DNA sequence features, without requiring genetic modifications.

The paper introduces phospho-sRNA-seq to detect fragmented mRNA and lncRNA in plasma, identifying tissue-specific exRNA signatures as potential biomarkers in bone marrow transplant patients.

The paper identifies and removes small RNA contaminants from microRNA extraction kits, showing their presence in human plasma samples and published datasets.

This study evaluates the accuracy, reproducibility, and bias of small RNA-seq across five protocols and nine labs, finding protocol-specific bias that can be mitigated with adapters and computational corrections.