|
Activity Number:
|
29
- SPEED: An Ensemble of Advances in Genomics and Genetics
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistics in Genomics and Genetics
|
|
Abstract #327144
|
Presentation
|
|
Title:
|
MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
|
|
Author(s):
|
Ye Zheng* and Ferhat Ay and Sunduz Keles
|
|
Companies:
|
University of Wisconsin Madison and La Jolla Institute for Allergy and Immunology and University of Wisconsin, Madison
|
|
Keywords:
|
Multi-mapping reads;
Hi-C;
Hierarchical model;
Novel contacts;
Repetitive regions
|
|
Abstract:
|
Current Hi-C analysis approaches are unable to account for reads that align to multiple locations, and hence underestimate biological signal from repetitive regions of genomes. We developed mHi-C, a multi-read mapping strategy to probabilistically allocate Hi-C multi-reads. mHi-C exhibited superior performance over utilizing only uni-reads and heuristic approaches aimed at rescuing multi-reads on benchmarks. Specifically, mHi-C increased the sequencing depth by an average of 20% leading to higher reproducibility of contact matrices and a larger number of significant contacts across biological replicates. mHi-C also revealed biologically supported bona fide promoter-enhancer interactions and topologically associating domains involving repetitive genomic regions, thereby unlocking a previously masked portion of the genome for conformation capture studies.
|
Authors who are presenting talks have a * after their name.
