The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
418
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
IMS
|
| Abstract - #301496 |
|
Title:
|
Copy Number Variation Detection Using Next-Generation Sequencing Data
|
|
Author(s):
|
Heng Wang*+ and Dan Nettleton
|
|
Companies:
|
Iowa State University and Iowa State University
|
|
Address:
|
, , ,
|
|
Keywords:
|
copy number variation ;
next generation sequencing ;
Hidden Markov Model
|
|
Abstract:
|
Modern genomic technologies enable us to understand the genetic mechanisms of cancers and diseases. Recently developed next generation sequencing technology shows advantages in the aspects of resolution and accuracy in detecting disease related copy number variations (CNV). We present a novel algorithm for CNV detection using next generation sequencing data. Our method incorporates Hidden Markov Models and Bayesian methods to obtain the posterior probability of each underlying copy number "state" for every aligned position along the genome. The proposed method also accounts for spatial dependencies among positions. We use simulation and analysis of real data sets to compare our method with recently published approaches.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 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.