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Activity Number:
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13
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 2, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305094 |
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Title:
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Understanding Protein Function on a Genome-Scale Using Networks
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Author(s):
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Mark Gerstein*+
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Companies:
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Yale University
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Address:
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Bass 432A, New Haven, CT, 06511,
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Keywords:
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bioinformatics ; network ; training set ; metagenomics ; cca ; integration
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Abstract:
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My talk will be concerned with understanding protein function on a genomic scale. We approach this through the prediction and analysis of biological networks, focusing on protein-protein interaction and transcription-factor-target ones. I will describe how these networks can be determined through integration of genomic features and how they can be analyzed in terms of various topological statistics. In particular, I will discuss: (1) Improving the prediction of molecular networks through systematic training-set expansion; (2) Showing how the analysis of pathways across environments potentially allows them to act as biosensors; (3) analyzing the structure of regulatory networks shows they have hierarchical layouts with "middle-managers" acting as information bottlenecks. [REFS: K Yip & M Gerstein ('09) Bioinformatics 25:243; T Gianoulis et al ('09) PNAS 16:1374; Networks.GersteinLab.org]
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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