@article{9950e91afb294d90811bda3ff8402cef,
title = "Advanced computational algorithms for microbial community analysis using massive 16S rRNA sequence data",
abstract = "With the aid of next-generation sequencing technology, researchers can now obtain millions of microbial signature sequences for diverse applications ranging from human epidemiological studies to global ocean surveys. The development of advanced computational strategies to maximally extract pertinent information from massive nucleotide data has become a major focus of the bioinformatics community. Here, we describe a novel analytical strategy including discriminant and topology analyses that enables researchers to deeply investigate the hidden world of microbial communities, far beyond basic microbial diversity estimation. We demonstrate the utility of our approach through a computational study performed on a previously published massive human gut 16S rRNA data set. The application of discriminant and topology analyses enabled us to derive quantitative disease-associated microbial signatures and describe microbial community structure in far more detail than previously achievable. Our approach provides rigorous statistical tools for sequence-based studies aimed at elucidating associations between known or unknown organisms and a variety of physiological or environmental conditions.",
author = "Yijun Sun and Yunpeng Cai and Volker Mai and William Farmerie and Fahong Yu and Jian Li and Steve Goodison",
note = "Funding Information: The recent development of massively parallel pyrosequencing technology allows researchers to study genetic materials recovered directly from environmental samples, by eliminating the need of laboratory isolation and cultivation of individual species, and thus opens a new window to probe the hidden world of microbial communities (2–4). In recognition of the role of marine microbes in biogeochemical processes, the International Census of Marine Microbes (ICoMM) consortium has launched an international effort to catalog the diversity of microbial populations in the oceanic, coastal and benthic waters. Microbes associated with human health are intensely studied through two large-scale initiatives: the Human Microbiome Project (HMP) sponsored by National Institutes of Health and MetaHIT sponsored by the Europen Union, which seek to establish a correlation between the composition of the human micro-biome and various diseases (5). These studies leverage the power of deep sequencing that allows for the rapid and cost-effective surveying of complex microbial",
year = "2010",
month = dec,
doi = "10.1093/nar/gkq872",
language = "English (US)",
volume = "38",
pages = "e205",
journal = "Nucleic acids research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "22",
}