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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

  1. Emanuel Weitschek1,2,*,
  2. Robin Van Velzen3,4,
  3. Giovanni Felici1,
  4. Paola Bertolazzi1

Article first published online: 28 JAN 2013

DOI: 10.1111/1755-0998.12073

Additional Information

How to Cite

Weitschek, E., Van Velzen, R., Felici, G. and Bertolazzi, P. (2013), BLOG 2.0: a software system for character-based species classification with DNA Barcode sequences. What it does, how to use it. Molecular Ecology Resources. doi: 10.1111/1755-0998.12073

Author Information

  1. 1

    Institute of Systems Analysis and Computer Science A. Ruberti, National Research Council, Rome, Italy

  2. 2

    Department of Informatics and Automation, Università degli Studi Roma Tre, Rome, Italy

  3. 3

    Biosystematics Group, Wageningen University, Wageningen, the Netherlands

  4. 4

    Naturalis Biodiversity Center (section NHN), Wageningen University, Wageningen, the Netherlands

*Correspondence: Emanuel Weitschek, Fax: +39067716450; E-mail: emanuel.weitschek@iasi.cnr.it

Publication History

  1. Article first published online: 28 JAN 2013
  2. Manuscript Accepted: 22 DEC 2012
  3. Manuscript Revised: 19 DEC 2012
  4. Manuscript Received: 6 JUN 2012

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Keywords:

  • classification;
  • data analysis;
  • DNA Barcoding;
  • species identification

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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