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funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model.

Prabina Kumar MeherTanmaya Kumar SahuShachi GahoiRuchi TomarAtmakuri Ramakrishna Rao
Published in: BMC genetics (2019)
An online prediction server "funbarRF" is established at http://cabgrid.res.in:8080/funbarrf/ for fungal species identification. Besides, an R-package funbarRF ( https://cran.r-project.org/web/packages/funbarRF/ ) is also available for prediction using high throughput sequence data. The effort put in this work will certainly supplement the future endeavors in the direction of fungal taxonomy assignments based on DNA barcode.
Keyphrases
  • high throughput
  • circulating tumor
  • cell free
  • single molecule
  • machine learning
  • climate change
  • cell wall
  • big data
  • single cell
  • genetic diversity
  • artificial intelligence