2014
DOI: 10.1093/bioinformatics/btu443
|View full text |Cite
|
Sign up to set email alerts
|

Two-dimensional segmentation for analyzing Hi-C data

Abstract: Motivation: The spatial conformation of the chromosome has a deep influence on gene regulation and expression. Hi-C technology allows the evaluation of the spatial proximity between any pair of loci along the genome. It results in a data matrix where blocks corresponding to (self-)interacting regions appear. The delimitation of such blocks is critical to better understand the spatial organization of the chromatin. From a computational point of view, it results in a 2D segmentation problem.Results: We focus on … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
178
0
1

Year Published

2016
2016
2021
2021

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 147 publications
(179 citation statements)
references
References 14 publications
0
178
0
1
Order By: Relevance
“…Hence, we performed genome-wide chromosome conformation capture (Hi-C) (Belton et al 2012) in HUVECs stimulated with TNF for 30 min, sequenced libraries to 200 million read pairs, obtained interaction maps (at 100-kbp resolution) (Supplemental Fig. S1C), computationally identified TAD boundaries (Lévy-Leduc et al 2014), and examined how TNF-responsive genes cluster within them. One thousand seventy-four genes upregulated at 30 min reside singly in a TAD, whereas 208 and 47 genes reside in a given TAD in pairs or groups of ≥3 genes, respectively; this also applies to down-regulated genes but with a notably higher number of 202 genes in groups of ≥3 per TAD.…”
Section: Tnf Stimulation Rapidly Remodels the Nascent Transcriptome Omentioning
confidence: 99%
“…Hence, we performed genome-wide chromosome conformation capture (Hi-C) (Belton et al 2012) in HUVECs stimulated with TNF for 30 min, sequenced libraries to 200 million read pairs, obtained interaction maps (at 100-kbp resolution) (Supplemental Fig. S1C), computationally identified TAD boundaries (Lévy-Leduc et al 2014), and examined how TNF-responsive genes cluster within them. One thousand seventy-four genes upregulated at 30 min reside singly in a TAD, whereas 208 and 47 genes reside in a given TAD in pairs or groups of ≥3 genes, respectively; this also applies to down-regulated genes but with a notably higher number of 202 genes in groups of ≥3 per TAD.…”
Section: Tnf Stimulation Rapidly Remodels the Nascent Transcriptome Omentioning
confidence: 99%
“…A small number of algorithms that identify hierarchies of topological domains are available (Filippova et al 2014;Lévy-Leduc et al 2014;Shin et al 2015;Weinreb and Raphael 2015;Chen et al 2016;Shavit et al 2016). However, none of them provides a quantitative description of how the various layers of domains differ from one another.…”
mentioning
confidence: 99%
“…Variance was assumed to be constant for all kinds of contact intensities in Gaussian model. Domains were identified by maximizing the likelihood, and optimal solutions were found by dynamic programming [90].…”
Section: Hicsegmentioning
confidence: 99%