Rutendo F. Sigauke

The paper introduces the LIET model to analyze RNA polymerase kinetics across transcription stages and applies it to human cell-types and perturbation experiments to detect changes in transcription dynamics.

The paper investigates facultative parthenogenesis in whiptail lizards, showing that post-meiotic mechanisms, not polar body fusion, cause genome-wide homozygosity and explains associated genetic consequences.

TF profiler infers transcription factor activity from PRO-seq and GRO-seq data, identifying three distinct TF classes based on regulatory roles.

The paper identifies over 800,000 bidirectional transcription regions in human samples and links them to genes through correlated transcription, enriched for disease SNPs and supported by 3D data.

This paper develops a method for supervised deconvolution of nascent sequencing data and finds enhancer RNAs are informative, while undifferentiated cell types complicate deconvolution.

TFEA quantifies transcription factor activity changes from perturbation data, identifying key regulators and temporal regulatory networks.