| Literature DB >> 22593599 |
Guo-Chiuan Hung1, Kenjiro Nagamine, Bingjie Li, Shyh-Ching Lo.
Abstract
A stepwise computational approach using three layers of publicly available software was found to effectively identify DNA signatures for Streptococcus pyogenes. PCR testing validated that 9 out of 15 signature-derived primer sets could detect as low as 5 fg of target DNA with high specificity. The selected signature-derived primer sets were successfully evaluated against all 23 clinical isolates. The approach is readily applicable for designing molecular assays for rapid detection and characterization of various pathogenic bacteria.Entities:
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Year: 2012 PMID: 22593599 PMCID: PMC3421508 DOI: 10.1128/JCM.01155-12
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948