Learning to classify species with barcodes.

ABSTRACT:

Background

According to many field experts, specimens classification based on morphological keys needs to be supported with automated techniques based on the analysis of DNA fragments. The most successful results in this area are those obtained from a particular fragment of mitochondrial DNA, the gene cytochrome c oxidase I (COI) (the "barcode"). Since 2004 the Consortium for the Barcode of Life (CBOL) promotes the collection of barcode specimens and the development of methods to analyze the barcode for several tasks, among which the identification of rules to correctly classify an individual into its species by reading its barcode.

Results

We adopt a Logic Mining method based on two optimization models and present the results obtained on two datasets where a number of COI f

SUBMITTER: Bertolazzi P 

PROVIDER: S-EPMC2775153 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature