Get access

BLOG 2.0: a software system for character-based species classification with DNA Barcode sequences. What it does, how to use it

Authors

  • Emanuel Weitschek,

    Corresponding author
    1. Department of Informatics and Automation, Università degli Studi Roma Tre, Rome, Italy
    • Institute of Systems Analysis and Computer Science A. Ruberti, National Research Council, Rome, Italy
    Search for more papers by this author
  • Robin Van Velzen,

    1. Biosystematics Group, Wageningen University, Wageningen, the Netherlands
    2. Naturalis Biodiversity Center (section NHN), Wageningen University, Wageningen, the Netherlands
    Search for more papers by this author
  • Giovanni Felici,

    1. Institute of Systems Analysis and Computer Science A. Ruberti, National Research Council, Rome, Italy
    Search for more papers by this author
  • Paola Bertolazzi

    1. Institute of Systems Analysis and Computer Science A. Ruberti, National Research Council, Rome, Italy
    Search for more papers by this author

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

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.

Ancillary