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SAG-QC: quality control of single amplified genome information by subtracting non-target sequences based on sequence compositions.

Toru MaruyamaTetsushi MoriKeisuke YamagishiHaruko Takeyama
Published in: BMC bioinformatics (2017)
Our method works independently of public sequence information for distinguishing SAGs from non-target sequences. This method will be effective when employed against SAG sequences of unexplored strains and we anticipate that it will contribute to the correct interpretation of SAGs.
Keyphrases
  • quality control
  • health information
  • healthcare
  • escherichia coli
  • mental health
  • genetic diversity
  • genome wide
  • amino acid
  • emergency department
  • gene expression
  • social media