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

Matthew B Scholz; Chien-Chi Lo; Patrick S G Chain

doi:10.1016/j.copbio.2011.11.013

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

Curr Opin Biotechnol. 2012 Feb;23(1):9-15. doi: 10.1016/j.copbio.2011.11.013. Epub 2011 Dec 9.

Authors

Matthew B Scholz¹, Chien-Chi Lo, Patrick S G Chain

Affiliation

¹ Genome Science Group, Los Alamos National Laboratory, Los Alamos, NM 87545, United States.

PMID: 22154470
DOI: 10.1016/j.copbio.2011.11.013

Abstract

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.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.
Review

MeSH terms

Algorithms*
High-Throughput Nucleotide Sequencing / economics
High-Throughput Nucleotide Sequencing / methods*
Metagenomics / economics
Metagenomics / methods*
Sequence Analysis, DNA / economics
Sequence Analysis, DNA / methods*