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Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis.
Scholz, Matthew B; Lo, Chien-Chi; Chain, Patrick S G.
  • Scholz MB; Genome Science Group, Los Alamos National Laboratory, Los Alamos, NM 87545, United States.
Curr Opin Biotechnol ; 23(1): 9-15, 2012 Feb.
Article en En | MEDLINE | ID: mdl-22154470
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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Análisis de Secuencia de ADN / Metagenómica / Secuenciación de Nucleótidos de Alto Rendimiento Idioma: En Año: 2012 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Análisis de Secuencia de ADN / Metagenómica / Secuenciación de Nucleótidos de Alto Rendimiento Idioma: En Año: 2012 Tipo del documento: Article