Combinatorial Identification of Broad Association Regions with ChIP-seq Data

Jieun Jeong, Mudit Gupta, Andrey Poleshko, Jonathan A. Epstein

2016

Abstract

Motivation: Differentiation of cells into different cell types involves many types of chromatin modifications, and mapping these modifications is a key computational task as researchers uncover different aspects of that process. Modifications associated with heterochromatin formation pose new challenges in this context because we must define very broad regions that have only a moderately stronger signal than the rest of the chromatin. Lamin-associated domains (LADs) are a prime example of such regions. Results: We present Combinatorial Identification of Broad Association Regions (CIBAR), a new method to identify these types of broad regions. CIBAR is based on an efficient solution to a natural combinatorial problem, which adapts to widely variable yields of reads from ChIP-seq data and the associated controls and performs competitively with previous methods, including DamID, which has been used in many publications on LADs but cannot be applied in most in vivo situations.

Paper Citation

in Harvard Style

Jeong J., Gupta M., Poleshko A. and Epstein J. (2016). Combinatorial Identification of Broad Association Regions with ChIP-seq Data . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 27-34. DOI: 10.5220/0005663400270034

in Bibtex Style

@conference{bioinformatics16,
author={Jieun Jeong and Mudit Gupta and Andrey Poleshko and Jonathan A. Epstein},
title={Combinatorial Identification of Broad Association Regions with ChIP-seq Data},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)},
year={2016},
pages={27-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005663400270034},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)
TI - Combinatorial Identification of Broad Association Regions with ChIP-seq Data
SN - 978-989-758-170-0
AU - Jeong J.
AU - Gupta M.
AU - Poleshko A.
AU - Epstein J.
PY - 2016
SP - 27
EP - 34
DO - 10.5220/0005663400270034