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BLOG 2.0: a software system for character‐based species classification with DNA Barcode sequences. What it does, how to use it
Author(s) -
Weitschek Emanuel,
Velzen Robin,
Felici Giovanni,
Bertolazzi Paola
Publication year - 2013
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 - 10.1111/1755-0998.12073
Subject(s) - barcode , dna barcoding , character (mathematics) , software , biology , dna , key (lock) , computer science , world wide web , computational biology , artificial intelligence , genetics , evolutionary biology , ecology , operating system , mathematics , geometry
BLOG (Barcoding with LOGic) is a diagnostic and character-based DNA Barcode analysis method. Its aim is to classify specimens to species based on DNA Barcode sequences and on a supervised machine learning approach, using classification rules that compactly characterize species in terms of DNA Barcode locations of key diagnostic nucleotides. The BLOG 2.0 software, its fundamental modules, online/offline user interfaces and recent improvements are described. These improvements affect both methodology and software design, and lead to the availability of different releases on the website http://dmb.iasi.cnr.it/blog-downloads.php. Previous and new experimental tests show that BLOG 2.0 outperforms previous versions as well as other DNA Barcode analysis methods.