Draft, Do Not Distribute
Annex 1: Bioinformatics Analyses of Signature Sequences Underlying
Venezuelan Equine Encephalitis Virus
Assays
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In silico
screening will be performed on signature sequences (e.g., oligo primers/probes) to predict specificity to
Variola virus
and inclusivity across all
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sequenced
Variola virus
strains.
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In silico
results are suggestive of potential performance issues, so will guide necessary additions to the wet screening panels.
In silico
identification of
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potential cross-reactions (false positives) or non-verifications (false negatives) would identify the relevant strains to be included in the exclusivity or
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inclusivity panels, respectively, if available.
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A method developer-selected tool to carry out the bioinformatics evaluation should be able to predict hybridization events between signature
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components and a sequence in a database including available genomic sequence data, using public Genbank nucleotide
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[http://www.ncbi.nlm.nih.gov/genbank/]. The selected tool should be able to identify predicted hybridization events based on platform annealing
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temperatures, thus ensuring an accurate degree of allowed mismatch is incorporated in predictions. The program should detect possible amplicons from
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any selected database of sequence.
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Potential tools for
in silico
screening of real-time PCR signatures include:
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•
Simulate_PCR:
http://sourceforge.net/projects/simulatepcr/files/?source=navbar243
o
This program will find all possible amplicons and real time fluorescing events from any selected database of sequence.
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•
NCBI Tools:
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FastPCR:
http://primerdigital.com/fastpcr.html248
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The method developer submission should include:
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Description of sequence databases used in the
in silico
analysis
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•
Description of tool used for bioinformatics evaluation
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o
Data demonstrating the selected tool successfully predicts specificity that has been confirmed by wet-lab testing on designated isolates
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This data can be generated retrospectively using published assays
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•
List of additional strains to be added to the inclusivity or exclusivity panels based on the bioinformatics evaluation
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14 Draft EEVs SMPR V4