Bioinformatics and big data analysis



The innovation of multi-omics techniques has enabled us to evaluate the associations between gut microbiome and human body in an unprecedented scale. Developing novel bioinformatic algorithms to ensure fast, accurate, user-friendly, cost-effective, open-accessible and reproducible analysis is fundamental to obtain reliable results, which can guide hypothesis generation as well as diagnostic applications. MMC has made several achievements in bioinformatics and biostatistics methods on microbiome analysis.

Publication list:

1. Hong-Wei Zhou*, Dong-Fang Li, Nora Fung-Yee Tam, Xiao-TaoJiang, Hai Zhang, Hua-Fang Sheng, Jin Qin, Xiao Liu, Fei Zou, BIPES,  a cost-effective high-throughput method for assessing microbial diversity, The ISME Journal, 2011.4.01, 5(4): 741~749

2.  Yan He, J. Gregory Caporaso, Xiao-Tao Jiang, Hua-Fang Sheng, Susan M. Huse, Jai Ram Rideout, Robert C. Edgar, Evguenia Kopylova, William A. Walters, Rob Knight, Hong-Wei Zhou*,  Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity, Microbiome, 2015.7.31, 3

3.  Yan He, Ben-Jie Zhou, Guan-Hua Deng, Xiao-Tao Jiang, Hai Zhang, Hong-Wei Zhou*, Comparison of microbial diversity determined with the same variable tag sequence extracted from two different PCR amplicons, BMC Microbiology, 2013 .9.14, 13 

4.  Xiao-Tao Jiang, Hai Zhang, Hua-Fang Sheng, Yu Wang, Yan He, Fei Zou, Hong-Wei Zhou*,  Two-Stage Clustering (TSC): A Pipeline for Selecting Operational Taxonomic Units for the High-Throughput Sequencing of PCR Amplicons,  PLos One, 2012.1.11, 7(1)

5.  Xin Peng, Ke-Qiang Yu, Guan-Hua Deng, Yun-Xia Jiang, Yu Wang, Guo-Xia Zhang, Hong-Wei Zhou*, Comparison of direct boiling method with commercial kits for extracting fecal microbiome DNA by Illumina sequencing of 16S rRNA tags, Journal of Microbiological Methods, 2013.12.01, 95(3): 455~462