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Abstract Details

Activity Number: 628
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #305292
Title: A Comparison of Statistical Methods for Comparative Metagenomic Analysis
Author(s): Lingling An*+ and Hongmei Jiang and Naruekamol Pookhao and Isaac Jenkins
Companies: University of Arizona and Northwestern University and University of Arizona and University of Arizona
Address: 1177 E. 4th St., Tucson, AZ, 85721,
Keywords: metagenomics ; next generation sequencing ; comparative analysis

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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