Comparative performances of DNA barcoding across insect orders
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* Corresponding author: Massimiliano Virgilio massimilano.virgilio@africamuseum.be
1 Royal Museum for Central Africa, Leuvensesteenweg 13, 3080, Tervuren, Belgium
2 Royal Belgian Institute of Natural Sciences, Vautierstraat 29, 1000, Brussels, Belgium
3 Department of Biology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium
BMC Bioinformatics 2010, 11:206 doi:10.1186/1471-2105-11-206
Published: 27 April 2010Additional files
Additional file 1:
Summary of simulations on Dataset A.
Format: XLS Size: 6.4MB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 2:
Summary of simulations on Dataset B.
Format: XLS Size: 1.5MB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 3:
Dataset A. Accession numbers and alignment of 15,948 DNA barcodes (>550 bp) belonging to 1,995 insect species, each represented by at least two sequences.
Format: NXS Size: 10.9MB Download file
Additional file 4:
Dataset B. Accession numbers and alignment of 14,254 DNA barcodes (>550 bp) belonging to 1,148 insect species, each represented by at least three sequences.
Format: NXS Size: 9.8MB Download file
Additional file 5:
TreeCode.1.0. Perl script developed to quantify the proportion of correctly identified queries according to the NJT criterion.
Format: ZIP Size: 6KB Download file
