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Abstract Details
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Activity Number:
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628
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #305292 |
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Title:
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A Comparison of Statistical Methods for Comparative Metagenomic Analysis
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Author(s):
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Lingling An*+ and Hongmei Jiang and Naruekamol Pookhao and Isaac Jenkins
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Companies:
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University of Arizona and Northwestern University and University of Arizona and University of Arizona
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Address:
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1177 E. 4th St., Tucson, AZ, 85721,
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Keywords:
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metagenomics ;
next generation sequencing ;
comparative analysis
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Abstract:
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Metagenomics is the study of metagenomes, genetic material recovered directly from natural (e.g. soil and seawater) or hosted-associated (e.g. human gut) environmental samples that contain micro-organisms organized into communities or microbiomes. Metagenomics is a relatively new but fast growing field within environmental biology and medical science. With the basic question "which species or types of genes are present in a given environmental sample" answered, researchers shift the focus to compare different metagenomic samples/datasets in order to detect biological-factor-related organisms/functions based on metagenomic sequencing data. In this research we will compare several statistical methods and computational algorithms in comparative metagenomics by using comprehensive simulation studies and real data analyses.
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