Cristina Cadenas

CRUP predicts condition-specific regulatory units by analyzing histone modification ChIP-seq data and linking enhancers to target genes in rheumatoid arthritis.

The paper identifies partially methylated domains (PMDs) as widespread epigenomic features across human and mouse cells, showing cell-type specificity and links to gene expression, replication timing, and proliferation.

normR normalizes ChIP-seq data to improve enrichment calling in different histone modification regimes.

This paper introduces TEPIC, a method that combines open-chromatin data with TF binding affinities to predict gene expression, achieving results comparable to TF ChIP-seq.