Supervised DNA Barcodes species classification: analysis, comparisons and results.

ABSTRACT:

Background

Specific fragments, coming from short portions of DNA (e.g., mitochondrial, nuclear, and plastid sequences), have been defined as DNA Barcode and can be used as markers for organisms of the main life kingdoms. Species classification with DNA Barcode sequences has been proven effective on different organisms. Indeed, specific gene regions have been identified as Barcode: COI in animals, rbcL and matK in plants, and ITS in fungi. The classification problem assigns an unknown specimen to a known species by analyzing its Barcode. This task has to be supported with reliable methods and algorithms.

Methods

In this work the efficacy of supervised machine learning methods to classify species with DNA Barcode sequences is shown. The Weka software suite, which includes a co

SUBMITTER: Weitschek E 

PROVIDER: S-EPMC4022351 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature