title: Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis.
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.
authors.affiliation: Genome Science Group, Los Alamos National Laboratory, Los Alamos, NM 87545, United States.
authors.forename: Matthew B
authors.initials: MB
authors.lastname: Scholz
authors.forename: Chien-Chi
authors.initials: CC
authors.lastname: Lo
authors.forename: Patrick S G
authors.initials: PS
authors.lastname: Chain
mesh_terms: D000465:Algorithms; D059014:High-Throughput Nucleotide Sequencing / Q000191:economics / Q000379:methods*; D056186:Metagenomics / Q000191:economics / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000191:economics / Q000379:methods*