John Chamberlin

This paper evaluates avidity sequencing for single-cell RNA-seq, showing it accurately sequences through homopolymers and improves alignment workflows.

The paper reanalyzes RNA-seq data to show pre-mRNA levels vary across cell types, affecting gene length bias and normalization methods, and highlights the impact of bioinformatic processing over assay choice.

This study finds no whole-chromosome dosage compensation or global transcriptomic differences in aneuploid yeast lines, but detects gene-level expression attenuation and mutation accumulation effects.