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Abstract Background Shotgun sequencing of environmental DNA is an essential technique for characterizing uncultivated microbes in situ . However, the taxonomic and functional assignment of the obtained sequence fragments remains a pressing problem. Results Existing algorithms are largely optimized for speed and coverage; in contrast, we present here a software framework that focuses on a restricted set of informative gene families, using Maximum Likelihood to assign these with the best possible accuracy. This framework ('MLTreeMap'; http://mltreemap.org/ ) uses raw nucleotide sequences as input, and includes hand-curated, extensible reference information. Conclusions We discuss how we validated our pipeline using complete genomes as well as simulated and actual environmental sequences.
Stark et al. (Thu,) studied this question.
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