Christy Hoffmann

TL;DR: CircaInSilico is introduced, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms, and several unmet analytical needs, including applications to clinical medicine, are discussed and productive avenues to address them are suggested.

TL;DR: The efficacy of CellOracle is demonstrated to infer and interpret cell-type-specific GRN configurations, at high-resolution, promoting new mechanistic insights into the regulation and reprogramming of cell identity.

TL;DR: This work uses RNAseq to profile mRNA expression in skeletal, smooth, and cardiac muscle tissues from mice and rats and detects mRNA expression of hundreds of putative myokines that may underlie the endocrine functions of skeletal muscle.

TL;DR: In this paper, the authors identified a pattern of imbalance marked by basal epithelial cell growth and differentiation that replaced normal airspaces in a mouse model of progressive postviral lung disease due to the Sendai virus.

TL;DR: In this paper , a computational method to infer gene regulatory networks (GRNs) from single-cell transcriptome and epigenome data was proposed to reveal distinct network configurations underlying successful and failed fate conversion.