Online Program Home
My Program

Abstract Details

Activity Number: 339
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract #320401
Title: Assessing Reproducibility of Hi-C Data
Author(s): Qunhua Li* and Tao Yang
Companies: Penn State University and Penn State University
Keywords: reproducibility ; Hi-C ; spatial structure ; genomics

High-throughput chromosome conformation capture (Hi-C) has become the state-of-the-art technology for studying genome-wide chromatin structures. Despite rapid technological advance, Hi-C data still is highly noisy. Assessing reproducibility of Hi-C data across replicates is an important way to monitor data quality. However, existing statistical measures for reproducibility are not entirely suitable for Hi-C data due to its spatial structure, and can generate misleading results.

In this work, we develop a new method for assessing the reproducibility of Hi-C data. By takes account of the spatial effect in Hi-C data, this method effectively distinguishes experiments with different reproducibility. We illustrate our method using both simulations and real data analyses.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association