Journal
CURRENT OPINION IN BIOTECHNOLOGY
Volume 23, Issue 1, Pages 72-76Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2011.12.017
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Funding
- U.S. Department of Energy [DE-AC02-06CH11357]
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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.
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