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caos software for use in character‐based DNA barcoding
Author(s) -
SARKAR INDRA NEIL,
PLANET PAUL J.,
DESALLE ROB
Publication year - 2008
Publication title -
molecular ecology resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.96
H-Index - 136
eISSN - 1755-0998
pISSN - 1755-098X
DOI - 10.1111/j.1755-0998.2008.02235.x
Subject(s) - character (mathematics) , biology , dna barcoding , identification (biology) , software , set (abstract data type) , computational biology , phylogenetic tree , artificial intelligence , computer science , genetics , evolutionary biology , gene , programming language , mathematics , geometry , botany
The success of character-based DNA barcoding depends on the efficient identification of diagnostic character states from molecular sequences that have been organized hierarchically (e.g. according to phylogenetic methods). Similarly, the reliability of these identified diagnostic character states must be assessed according to their ability to diagnose new sequences. Here, a set of software tools is presented that implement the previously described Characteristic Attribute Organization System for both diagnostic identification and diagnostic-based classification. The software is publicly available from http://sarkarlab.mbl.edu/CAOS.