Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis

被引：217

作者：

Scholz, Matthew B. ^{[1
,2
]}

Lo, Chien-Chi ^{[1
,2
]}

Chain, Patrick S. G. ^{[1
,2
]}

机构：

[1] Los Alamos Natl Lab, Genome Sci Grp, Los Alamos, NM 87545 USA

[2] Joint Genome Inst, Microbial & Metagenome Program, Walnut Creek, CA 94598 USA

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2012年 / 23卷 / 01期

关键词：

SHORT READ ALIGNMENT; ANNOTATION PIPELINE; RIBOSOMAL-RNA; GENOME; TOOL; COMMUNITY; MICROBIOTA; ALGORITHM; SYSTEM; DNA;

D O I：

10.1016/j.copbio.2011.11.013

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The recent technological advances in next generation sequencing have brought the field closer to the goal of reconstructing all genomes within a community by presenting high throughput sequencing at much lower costs. While these next-generation sequencing technologies have allowed a massive increase in available raw sequence data, there are a number of new informatics challenges and difficulties that must be addressed to improve the current state, and fulfill the promise of, metagenomics.

引用

页码：9 / 15

页数：7

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