title: Metagenomic analysis: the challenge of the data bonanza.
abstract: Several thousand metagenomes have already been sequenced, and this number is set to grow rapidly in the forthcoming years as the uptake of high-throughput sequencing technologies continues. Hand-in-hand with this data bonanza comes the computationally overwhelming task of analysis. Herein, we describe some of the bioinformatic approaches currently used by metagenomics researchers to analyze their data, the issues they face and the steps that could be taken to help overcome these challenges.
authors.affiliation: European Bioinformatics Institute, Cambridge, UK. chrish@ebi.ac.uk
authors.forename: Chris I
authors.initials: CI
authors.lastname: Hunter
authors.forename: Alex
authors.initials: A
authors.lastname: Mitchell
authors.forename: Philip
authors.initials: P
authors.lastname: Jones
authors.forename: Craig
authors.initials: C
authors.lastname: McAnulla
authors.forename: Sebastien
authors.initials: S
authors.lastname: Pesseat
authors.forename: Maxim
authors.initials: M
authors.lastname: Scheremetjew
authors.forename: Sarah
authors.initials: S
authors.lastname: Hunter
mesh_terms: D016208:Databases, Factual; D054892:Metagenome; D056186:Metagenomics; D017422:Sequence Analysis, DNA