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TAMA: improved metagenomic sequence classification through meta-analysis.

Mikang SimJongin LeeDaehwan LeeDaehong KwonJae Bum Kim
Published in: BMC bioinformatics (2020)
TAMA can be easily installed and used for metagenome read classification and the prediction of relative species abundance from multiple numbers and types of metagenome read samples. TAMA can be used to more accurately uncover the composition of microorganisms in metagenome samples collected from various environments, especially when the use of a single taxonomy analysis tool is unreliable. TAMA is an open source tool, and can be downloaded at https://github.com/jkimlab/TAMA.
Keyphrases
  • systematic review
  • machine learning
  • deep learning
  • single molecule
  • meta analyses
  • amino acid
  • data analysis