From genomics to metagenomics

被引:47
作者
Desai, Narayan [1 ]
Antonopoulos, Dion [2 ,3 ]
Gilbert, Jack A. [2 ,4 ]
Glass, Elizabeth M. [1 ]
Meyer, Folker [1 ,2 ]
机构
[1] Argonne Natl Lab, Math & Comp Sci Div, Argonne, IL 60439 USA
[2] Argonne Natl Lab, Inst Genom & Syst Biol, Argonne, IL 60439 USA
[3] Argonne Natl Lab, Biosci Div, Argonne, IL 60439 USA
[4] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
关键词
PHYLOGENETIC CLASSIFICATION; ASSEMBLER; SERVER; BLAST;
D O I
10.1016/j.copbio.2011.12.017
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Next-generation sequencing has changed metagenomics. However, sequencing DNA is no longer the bottleneck, rather, the bottleneck is computational analysis and also interpretation. Computational cost is the obvious issue, as is tool limitations, considering most of the tools we routinely use have been built for clonal genomics or are being adapted to microbial communities. The current trend in metagenomics analysis is toward reducing computational costs through improved algorithms and through analysis strategies. Data sharing and interoperability between tools are critical, since computation for metagenomic datasets is very high.
引用
收藏
页码:72 / 76
页数:5
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