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Activity Number: 339
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract #318626 View Presentation
Title: A Novel 2D Genome Segmentation Method for Modeling Epigenetic Landscapes in Multiple Cell Lines
Author(s): Yu Zhang*
Companies: Penn State University
Keywords: Epigenetics ; Bayesian method ; Genome Segmentation

Advanced sequencing technologies have generated a plethora of data for many chromatin marks in multiple tissues and cell types, yet there is lack of a generalized tool for optimal utility of those data. A major challenge is to quantitatively model the epigenetic dynamics across both the genome and many cell types for understanding their impacts on differential gene regulation and disease. We introduce IDEAS (, an integrative and discriminative epigenome annotation system, for jointly characterizing epigenetic landscapes in many cell types and detecting differential regulatory regions. A key distinction between our method and existing state-of-the-arts is that IDEAS integrates epigenomes of many cell types simultaneously in a way that preserves the position-dependent and cell type-specific information at fine scales, thereby greatly improving segmentation accuracy and producing consistent annotations across cell types.

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

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