DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Continual progress in next-generation sequencing allows for generating increasingly large metagenomes which are over time or space. Comparing and classifying the metagenomes with different microbial communities is critical. Alignment-free supervised classification is important for discriminating between the multifarious components of metagenomic samples, because it can be accomplished independently of known microbial genomes.

Authors

  • Xiao Ding
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China. dx8715@163.com.
  • Fudong Cheng
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China. 1357043455@qq.com.
  • Changchang Cao
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China. caochch@gmail.com.
  • Xiao Sun
    School of Materials Science and Engineering, Ocean University of China, Qingdao 266100, China.