Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME2.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Fungi play a key role in several important ecological functions, ranging from organic matter decomposition to symbiotic associations with plants. Moreover, fungi naturally inhabit the human body and can be beneficial when administered as probiotics. In mycology, the internal transcribed spacer (ITS) region was adopted as the universal marker for classifying fungi. Hence, an accurate and robust method for ITS classification is not only desired for the purpose of better diversity estimation, but it can also help us gain a deeper insight into the dynamics of environmental communities and ultimately comprehend whether the abundance of certain species correlate with health and disease. Although many methods have been proposed for taxonomic classification, to the best of our knowledge, none of them fully explore the taxonomic tree hierarchy when building their models. This in turn, leads to lower generalization power and higher risk of committing classification errors.

Authors

  • Fábio M Miranda
    Data Analytics and Computational Statistics, Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.
  • Vasco C Azevedo
    Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Rommel J Ramos
    Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Bernhard Y Renard
    Research Group Bioinformatics (NG4), Robert Koch Institute, 13353, Berlin, Germany.
  • Vitor C Piro
    Data Analytics and Computational Statistics, Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany. Vitor.Piro@fu-berlin.de.