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ABSTRACT: Motivation
Current metagenomics approaches allow analyzing the composition of microbial communities at high resolution. Important changes to the composition are known to even occur on strain level and to go hand in hand with changes in disease or ecological state. However, specific challenges arise for strain level analysis due to highly similar genome sequences present. Only a limited number of tools approach taxa abundance estimation beyond species level and there is a strong need for dedicated tools for strain resolution and differential abundance testing.Methods
We present DiTASiC ( fferential axa bundance including milarity orrection) as a novel approach for quantification and differential assessment of individual taxa in metagenomics samples. We introduce a generalize
SUBMITTER: Fischer M
PROVIDER: S-EPMC5870649 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature