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MetaCV[1] is a composition and phylogeny-based algorithm to classify very short metagenomic reads (75-100 bp) into specific taxonomic and functional groups. It performs (for both sensitivity and specificity) as good as BlastX-based methods on simulated short reads, but runs 300 times faster, thus provides fast and accurate analysis on huge amount of NGS data.

MetaCV is implemented in C++ to promote computing speed for high-throughput NGS data, and can generate figure/table reports by an integrated R script. The output could also be visualized by MEGAN, which provides user-friendly graphical interface for checking metagenomic profiles.

See also

References

  1. Liu, J; Wang H, Yang H, Zhang Y, Wang J, Zhao F, Qi J (2012). "Composition-based classification of short metagenomic sequences elucidates the landscapes of taxonomic and functional enrichment of microorganisms". Nucleic Acids Research. 
This article uses material from the Wikipedia article MetaCV, that was deleted or is being discussed for deletion, which is released under the Creative Commons Attribution-ShareAlike 3.0 Unported License.
Author(s): SarahStierch Search for "MetaCV" on Google
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