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

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PDF) 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

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

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

Table of Contents page: Computational and Structural Biotechnology Journal

Clinical and immunological signatures of severe COVID-19 in previously healthy patients with clonal hematopoiesis

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

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

PDF) HIPPIE2: a method for fine-scale identification of physically interacting chromatin regions

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

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

PDF) Clique-Based Topological Characterization of Chromatin Interaction Hubs

PDF) Probabilistic establishment of speckle-associated inter-chromosomal interactions

PDF) Probabilistic establishment of speckle-associated inter-chromosomal interactions