TAMA: improved metagenomic sequence classification through meta-analysis.

ABSTRACT: BACKGROUND:Microorganisms are important occupants of many different environments. Identifying the composition of microbes and estimating their abundance promote understanding of interactions of microbes in environmental samples. To understand their environments more deeply, the composition of microorganisms in environmental samples has been studied using metagenomes, which are the collections of genomes of the microorganisms. Although many tools have been developed for taxonomy analysis based on different algorithms, variability of analysis outputs of existing tools from the same input metagenome datasets is the main obstacle for many researchers in this field. RESULTS:Here, we present a novel meta-analysis tool for metagenome taxonomy analysis, called TAMA, by intelligently integrating ou

SUBMITTER: Sim M 

PROVIDER: S-EPMC7218625 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature