The shape of chromatin: insights from computational recognition of geometric patterns in Hi-C data
The three-dimensional organization of chromatin plays a crucial role in gene regulation and
cellular processes like deoxyribonucleic acid (DNA) transcription, replication and repair. Hi …
cellular processes like deoxyribonucleic acid (DNA) transcription, replication and repair. Hi …
Understanding the function of regulatory DNA interactions in the interpretation of non-coding GWAS variants
Genome-wide association studies (GWAS) have identified a vast number of variants
associated with various complex human diseases and traits. However, most of these GWAS …
associated with various complex human diseases and traits. However, most of these GWAS …
DeCOOC Deconvoluted Hi‐C Map Characterizes the Chromatin Architecture of Cells in Physiologically Distinctive Tissues
Deciphering variations in chromosome conformations based on bulk three‐dimensional
(3D) genomic data from heterogenous tissues is a key to understanding cell‐type specific …
(3D) genomic data from heterogenous tissues is a key to understanding cell‐type specific …
Gene expression and splicing QTL analysis of blood cells in African American participants from the Jackson Heart Study
Most gene expression and alternative splicing quantitative trait loci (eQTL/sQTL) studies
have been biased toward European ancestry individuals. Here, we performed eQTL and …
have been biased toward European ancestry individuals. Here, we performed eQTL and …
Understanding regulatory mechanisms of brain function and disease through 3d genome organization
The human genome has a complex and dynamic three-dimensional (3D) organization,
which plays a critical role for gene regulation and genome function. The importance of 3D …
which plays a critical role for gene regulation and genome function. The importance of 3D …
scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression
Abstract Summary Single-cell Hi-C (scHi-C) protocol helps identify cell-type-specific
chromatin interactions and sheds light on cell differentiation and disease progression …
chromatin interactions and sheds light on cell differentiation and disease progression …
SnapHiC-G: identifying long-range enhancer–promoter interactions from single-cell Hi-C data via a global background model
Harnessing the power of single-cell genomics technologies, single-cell Hi-C (scHi-C) and its
derived technologies provide powerful tools to measure spatial proximity between regulatory …
derived technologies provide powerful tools to measure spatial proximity between regulatory …
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci
Motivation CpG sites within the same genomic region often share similar methylation
patterns and tend to be co-regulated by multiple genetic variants that may interact with one …
patterns and tend to be co-regulated by multiple genetic variants that may interact with one …
A unified model for cell-type resolution genomics from heterogeneous omics data
The vast majority of population-scale genomic datasets collected to date consist of “bulk”
samples obtained from heterogeneous tissues, reflecting mixtures of different cell types. In …
samples obtained from heterogeneous tissues, reflecting mixtures of different cell types. In …
Characterization of Cell Type-Specific Molecular Heterogeneity in Cancer Using Multi-Omic Approaches
MKS Lee - 2023 - search.proquest.com
Tumors are composed of heterogeneous cell types each with its own unique molecular
profiles. Recent advances in single cell genomics technologies have begun to increase our …
profiles. Recent advances in single cell genomics technologies have begun to increase our …