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• W2417508918 endingPage "65" @default.
• W2417508918 startingPage "56" @default.
• W2417508918 abstract "The identification of microorganisms by whole genome DNA fingerprinting was tested in silico. 94 HPV genome sequences were submitted to virtual hybridization analysis on a DNA chip with 342 probes. This Universal Fingerprinting Chip (UFC) constitutes a representative set of probes of all the possible 8-mer sequences having at least two internal and non contiguous sequence differences between all them. A virtual hybridization analysis was performed in order to find the fingerprinting pattern that represents the signals produced for the hybridization of the probes allowing at most a single mismatch. All the fingerprints for each virus were compared against each other in order to obtain all the pairwise distances measures. A match-extension strategy was applied to identify only the shared signals corresponding to the hybridization of the probes with homologous sequences between two HPV genomes. A phylogenetic tree was constructed from the fingerprint distances using the Neighbor-Joining algorithm implemented in the program Phylip 3.61. This tree was compared with that produced from the alignment of whole genome HPV sequences calculated with the program Clustal_X 1.83. The similarities between both trees are suggesting that the UFC-8 is able to discriminate accurately between viral genomes. A fingerprint comparative analysis suggests that the UFC-8 can differentiate between HPV types and sub-types." @default.
• W2417508918 created "2016-06-24" @default.
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• W2417508918 date "2007-06-21" @default.
• W2417508918 modified "2023-10-18" @default.
• W2417508918 title "In silico evaluation of a novel DNA chip based fingerprinting technology for viral identification." @default.
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• W2417508918 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17578073" @default.
• W2417508918 hasPublicationYear "2007" @default.
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