covNorm: An R package for coverage based normalization of Hi-C and

Inkyung JUNG, University of California, San Diego, California, UCSD, San Diego Branch of the Ludwig Institute for Cancer Research

Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis

Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning - Computational and Structural Biotechnology Journal

Prediction of the 3D cancer genome from genomic rearrangements using InfoHiC

Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning - Computational and Structural Biotechnology Journal

PDF) Selfish: discovery of differential chromatin interactions via a self-similarity measure

Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis

Inkyung JUNG, University of California, San Diego, California, UCSD, San Diego Branch of the Ludwig Institute for Cancer Research

PDF) 3DIV update for 2021: A comprehensive resource of 3D genome and 3D cancer genome

Spatial and clonality-resolved 3D cancer genome alterations reveal enhancer-hijacking as a potential prognostic marker for colorectal cancer - ScienceDirect

PDF) Selfish: discovery of differential chromatin interactions via a self-similarity measure

Spatial and clonality-resolved 3D cancer genome alterations reveal enhancer-hijacking as a potential prognostic marker for colorectal cancer - ScienceDirect

Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis

Prediction of the 3D cancer genome from genomic rearrangements using InfoHiC

PDF) Selfish: discovery of differential chromatin interactions via a self-similarity measure