Nauman M. Javed

This paper develops a CRISPRi approach using truncated guides to screen multiple transcription factor binding sites, showing they can disrupt enhancer activity and repress transcription factor binding.

The paper identifies critical base-resolution regulatory elements in immune gene expression using base editing and deep learning.

Crosscheck detects mislabeled samples in NGS data by analyzing linkage disequilibrium, correcting errors in 1% of ENCODE datasets.

This paper develops a statistical model called IMProve to predict membrane protein expression in E. coli using sequence information, significantly increasing the success rate of expression trials.