Title |
In silicosingle strand melting curve: a new approach to identify nucleic acid polymorphisms in Totiviridae
|
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Published in |
BMC Bioinformatics, July 2014
|
DOI | 10.1186/1471-2105-15-243 |
Pubmed ID | |
Authors |
Raffael AC Oliveira, Ricardo VM Almeida, Márcia DA Dantas, Felipe N Castro, João Paulo MS Lima, Daniel CF Lanza |
Abstract |
The PCR technique and its variations have been increasingly used in the clinical laboratory and recent advances in this field generated new higher resolution techniques based on nucleic acid denaturation dynamics. The principle of these new molecular tools is based on the comparison of melting profiles, after denaturation of a DNA double strand. Until now, the secondary structure of single-stranded nucleic acids has not been exploited to develop identification systems based on PCR. To test the potential of single-strand RNA denaturation as a new alternative to detect specific nucleic acid variations, sequences from viruses of the Totiviridae family were compared using a new in silico melting curve approach. This family comprises double-stranded RNA virus, with a genome constituted by two ORFs, ORF1 and ORF2, which encodes the capsid/RNA binding proteins and an RNA-dependent RNA polymerase (RdRp), respectively. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Norway | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 2 | 6% |
Unknown | 32 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 18% |
Researcher | 6 | 18% |
Student > Master | 6 | 18% |
Student > Bachelor | 4 | 12% |
Student > Postgraduate | 3 | 9% |
Other | 5 | 15% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 13 | 38% |
Biochemistry, Genetics and Molecular Biology | 10 | 29% |
Computer Science | 3 | 9% |
Medicine and Dentistry | 1 | 3% |
Unknown | 7 | 21% |