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DNA Barcode Goes Two-Dimensions: DNA QR Code Web Server

Overview of attention for article published in PLOS ONE, May 2012
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Title
DNA Barcode Goes Two-Dimensions: DNA QR Code Web Server
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0035146
Pubmed ID
Authors

Chang Liu, Linchun Shi, Xiaolan Xu, Huan Li, Hang Xing, Dong Liang, Kun Jiang, Xiaohui Pang, Jingyuan Song, Shilin Chen

Abstract

The DNA barcoding technology uses a standard region of DNA sequence for species identification and discovery. At present, "DNA barcode" actually refers to DNA sequences, which are not amenable to information storage, recognition, and retrieval. Our aim is to identify the best symbology that can represent DNA barcode sequences in practical applications. A comprehensive set of sequences for five DNA barcode markers ITS2, rbcL, matK, psbA-trnH, and CO1 was used as the test data. Fifty-three different types of one-dimensional and ten two-dimensional barcode symbologies were compared based on different criteria, such as coding capacity, compression efficiency, and error detection ability. The quick response (QR) code was found to have the largest coding capacity and relatively high compression ratio. To facilitate the further usage of QR code-based DNA barcodes, a web server was developed and is accessible at http://qrfordna.dnsalias.org. The web server allows users to retrieve the QR code for a species of interests, convert a DNA sequence to and from a QR code, and perform species identification based on local and global sequence similarities. In summary, the first comprehensive evaluation of various barcode symbologies has been carried out. The QR code has been found to be the most appropriate symbology for DNA barcode sequences. A web server has also been constructed to allow biologists to utilize QR codes in practical DNA barcoding applications.

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Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Malaysia 2 2%
Italy 1 1%
Brazil 1 1%
Germany 1 1%
India 1 1%
United Kingdom 1 1%
Canada 1 1%
Sweden 1 1%
Other 4 4%
Unknown 76 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 13 14%
Student > Bachelor 12 13%
Student > Master 11 12%
Student > Doctoral Student 6 7%
Other 19 21%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 45%
Computer Science 14 15%
Biochemistry, Genetics and Molecular Biology 6 7%
Engineering 4 4%
Arts and Humanities 3 3%
Other 11 12%
Unknown 13 14%