Abstract Details
Activity Number:
|
649
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 8, 2013 : 8:30 AM to 10:20 AM
|
Sponsor:
|
ENAR
|
Abstract - #309157 |
Title:
|
Integrative Analysis of -Seq Data Sets for a Comprehensive Understanding of Regulatory Roles of Repetitive Regions
|
Author(s):
|
Xin Zeng*+ and Sunduz Keles
|
Companies:
|
University of Wisconsin - Madison and University of Wisconsin Madison
|
Keywords:
|
multi-read ;
chip-seq ;
dnase-seq
|
Abstract:
|
A fundamental question in molecular biology is how cell type specific gene expression programs are established and maintained through gene regulation. The NIH funded ENCODE project has thus far generated vasts amounts of sequencing data towards this goal. A major impediment to comprehensive understanding of these data is the lack of statistical and computational methods required to identify functional elements in repetitive regions. The data analysis efforts by the ENCODE projects have far focused on mappable regions with unique sequence contents. This is a highly critical barrier to the advancement of ENCODE data because significant fractions of complex genomes are composed of repetitive regions. The current method of multi-read allocation is heavily influenced by the regional uni-read content within an experiment which might lose the specificity in repetitive regions with high sequence similarity. DNase-seq and FAIRE-seq are high-resolution techniques for mapping active regulatory elements across the genome. We developed a probabilistic model that effectively utilizes data from related experiments as prior which significantly advances multi-read analysis of ENCODE datasets.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.