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Activity Number:
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453
- Advances on the Analysis of Single-Cell Sequencing Data
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, July 31, 2019 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #305199
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Title:
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Exploring Topologically Associating Domains (TADs) for Single-Cell Hi-C Data
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Author(s):
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Qunhua Li and Di Wu*
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Companies:
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Penn State University and University of North Carolina at Chapel Hill
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Keywords:
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single cell;
Hi-C;
topologically association domain
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Abstract:
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Single-cell Hi-C data makes it possible to interrogate the 3D architecture of DNA in the nucleus of the cell. However, the data is extremely sparse making it challenging to reliably identify meaningful structures. In this talk, we studied the topologically associating domains (TADs) in single-cell Hi-C data and evaluated the heterogeneity across cells.
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Authors who are presenting talks have a * after their name.
