A comparison of topologically associating domain callers over mammals at high resolution

E Sefer - BMC bioinformatics, 2022 - Springer
Abstract Background Topologically associating domains (TADs) are locally highly-
interacting genome regions, which also play a critical role in regulating gene expression in …

VEHiCLE: a variationally encoded Hi-C loss enhancement algorithm for improving and generating Hi-C data

M Highsmith, J Cheng - Scientific Reports, 2021 - nature.com
Chromatin conformation plays an important role in a variety of genomic processes. Hi-C is
one of the most popular assays for inspecting chromatin conformation. However, the utility of …

A comparison of topologically associating domain callers based on Hi-C data

K Liu, HD Li, Y Li, J Wang… - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Topologically associating domains (TADs) are local chromatin interaction domains, which
have been shown to play an important role in gene expression regulation. TADs were …

Vehicle: A variationally encoded hi-C loss enhancement algorithm

M Highsmith, J Cheng - bioRxiv, 2020 - biorxiv.org
Chromatin conformation plays an important role in a variety of genomic processes. Hi-C is
one of the most popular assays for inspecting chromatin conformation. However, the utility of …

Spectral and deep learning approaches to Hi-C data analysis

S Franzini - 2021 - iris.sissa.it
Hi-C matrices describe the genome-wide contact probability between chromatin loci. The
comparison of Hi-C matrices is important both to assess the reproducibility in biological …

A Deep Learning Method for Comparing Hi-C Data

S Krishnamurthy - 2021 - search.proquest.com
The rapidly increasing three-dimensional genome-wide data produced by chromosome
conformation capture presents many challenges in computational biology to understand the …

Structural Modeling of the 3D Genome Using Machine Learning

M Highsmith - 2020 - search.proquest.com
This dissertation, submitted as a partial requirement for completion of the Doctorate of
Philosophy, outlines the research performed by Max Highsmith in the BDM Lab. This work …