Rosalind Wenshan Pan

The paper introduces an algorithm to identify condition-dependent transcription factor binding sites by compressing promoter sequences into hyperletters, validated on E. coli data.

This paper shows that increasing microtubule bundle length in active networks triggers a percolation transition, enabling global force generation and mechanical work.

The paper identifies regulatory elements and transcription factors in E. coli genes across diverse environments using experimental and computational methods.

The paper creates synthetic single-cell gene expression data using thermodynamic models to better understand and optimize MPRA experiments for regulatory architecture inference.

The paper shows that highly charged protein regions often form structured helices, challenging the assumption that they are disordered, and introduces a better classifier for predicting structure in these regions.