TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis due to its cost-effectiveness and lower data requirements compared to metagenomic whole-genome sequencing (WGS). However, inherent limitations in 16S-based approach often lead to profiling discrepancies, particularly at the species level, compromising the accuracy and reliability of findings.

Authors

  • Qingrong Shen
    College of Computer Science and Technology, Qingdao University, Qingdao, 266071, Shandong, China.
  • Xiaoqian Fan
    Shouguang Hospital of Traditional Chinese Medicine, Weifang, 262700, Shandong, China.
  • Yangyang Sun
  • Hao Gao
    Institute of Pharmaceutical Analysis , College of Pharmacy , Jinan University , Guangzhou , Guangdong 510632 , China . Email: haibo.zhou@jnu.edu.cn ; Email: jzjjackson@hotmail.com ; Email: tghao@jnu.edu.cn.
  • Xiaoquan Su
    College of Computer Science and Technology, Qingdao University, Qingdao, 266071, Shandong, China. suxq@qdu.edu.cn.