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BLOG 2.0: a software system for character-based species classification with DNA Barcode sequences. What it does, how
Emanuel Weitschek1, Robin Van Velzen, Giovanni Felici
1Institute of Systems Analysis and Computer Science A. Ruberti, National Research Council, Viale Manzoni 30, 00185, Rome, Italy; Department of Informatics and Automation, Università degli Studi Roma Tre, Via della Vasca Navale 79, 00146, Rome, Italy.
Abstract:
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.
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