Signal Processing for Metagenomics: Extracting Information from the Soup
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Gail L. Rosen*,1, Bahrad A. Sokhansanj2, Robi Polikar3, Mary Ann Bruns4, Jacob Russell5, Elaine Garbarine1, Steve Essinger1 and Non Yok
- چاپ و سال / کشور: 2009
Description
Traditionally, studies in microbial genomics have focused on single-genomes from cultured species, thereby limiting their focus to the small percentage of species that can be cultured outside their natural environment. Fortunately, recent advances in high-throughput sequencing and computational analyses have ushered in the new field of metagenomics, which aims to decode the genomes of microbes from natural communities without the need for cultivation. Although metagenomic studies have shed a great deal of insight into bacterial diversity and coding capacity, several computational challenges remain due to the massive size and complexity of metagenomic sequence data. Current tools and techniques are reviewed in this paper which address challenges in 1) genomic fragment annotation, 2) phylogenetic reconstruction, 3) functional classification of samples, and 4) interpreting complementary metaproteomics and metametabolomics data. Also surveyed are important applications of metagenomic studies, including microbial forensics and the roles of microbial communities in shaping human health and soil ecology.
Current Genomics, 2009, 10, 493-510 Received on: December 04, 2008 - Revised on: March 31, 2009 - Accepted on: April 25, 2009
