Rongbin Zheng

TL;DR: The Cistrome DB has a new Toolkit module with several features that allow users to better utilize the large-scale ChIP-seq, DNase-seq and ATAC-seq data, and the new tools will greatly benefit the biomedical research community.

TL;DR: The Cistrome database is built, a collection of ChIP-seq and chromatin accessibility data published before January 1, 2016, including 13 366 human and 9953 mouse samples that are expected to become a valuable resource for transcriptional and epigenetic regulation studies.

TL;DR: Tumor Immune Single Cell Hub is presented, a large-scale curated database that integrates single-cell transcriptomic profiles of nearly 2 million cells from 76 high-quality tumor datasets across 27 cancer types and provides a user-friendly interface for systematically visualizing, searching and downloading gene expression atlas in the TME from multiple cancer types, enabling fast, flexible and comprehensive exploration of the Tme.

TL;DR: Lisa was developed to predict the transcriptional regulators (TRs) of differentially expressed or co-expressed gene sets and outperformed alternative methods in identifying the perturbed TRs.

TL;DR: The systematic integration and modeling of over 10,000 tumor molecular profiles from The Cancer Genome Atlas with over 23,000 ChIP-seq and chromatin accessibility profiles from the Cistrome collection reveals novel insights from integrative analyses combining chromatin profiles with tumor Molecular profiles.