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Deciphering the human microbiome using next-generation sequencing data and bioinformatics approaches

Title
Deciphering the human microbiome using next-generation sequencing data and bioinformatics approaches
Author
고인송
Keywords
Metagenomics; Human microbiome; Next generation sequencing; Bioinformatics
Issue Date
2015-06
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Citation
METHODS, v. 79-80, Page. 52-59
Abstract
The human microbiome is one of the key factors affecting the host immune system and metabolic functions that are not encoded in the human genome. Culture-independent analysis of the human microbiome using metagenomics approach allows us to investigate the compositions and functions of the human microbiome. Computational methods analyze the microbial community by using specific marker genes or by using shotgun sequencing of the entire microbial community. Taxonomy profiling is conducted by using the reference sequences or by de novo clustering of the specific region of sequences. Functional profiling, which is mainly based on the sequence similarity, is more challenging since about half of ORFs predicted in the metagenomic data could not find homology with known protein families. This review examines computational methods that are valuable for the analysis of human microbiome, and highlights the results of several large-scale human microbiome studies. It is becoming increasingly evident that dysbiosis of the gut microbiome is strongly associated with the development of immune disorder and metabolic dysfunction. (C) 2014 Elsevier Inc. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S1046202314003466http://hdl.handle.net/20.500.11754/25860
ISSN
1046-2023; 1095-9130
DOI
10.1016/j.ymeth.2014.10.022
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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