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BioMed Research International
Volume 2014, Article ID 906168, 10 pages
Research Article

Systematic Analysis of the Association between Gut Flora and Obesity through High-Throughput Sequencing and Bioinformatics Approaches

1Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan
2Department of Obstetrics and Gynecology, Hsinchu Mackay Memorial Hospital, Hsinchu 300, Taiwan
3Mackay Medicine, Nursing and Management College, Taipei 104, Taiwan
4Department of Medicine, Mackay Medical College, New Taipei City 251, Taiwan
5Tseng Han-Chi General Hospital, Nantou 542, Taiwan
6Health GeneTech Corporation, Taoyuan 330, Taiwan
7Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei 110, Taiwan
8Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan
9Center for Bioinformatics Research, National Chiao Tung University, Hsinchu 300, Taiwan
10Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung 807, Taiwan

Received 11 April 2014; Accepted 27 June 2014; Published 14 August 2014

Academic Editor: Li-Ching Wu

Copyright © 2014 Chih-Min Chiu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Table S1: Characteristics of each sample

Table S2: Species with a significantly different presence between normal and case samples

S3: Performance of classification of obesity and normal using Parabacteroides distasonis and Serratia sp. DAP4

Figure S1: Unsupervised clustering heatmap using Speaman correlation with (A) all genera (B) relative abundant genera

  1. Supplementary Material