作者: Philippe Colson , Catherine Tamalet , Didier Raoult , None
关键词: Genetics 、 Amino acid 、 Selection (genetic algorithm) 、 Clinical microbiology 、 Nucleotide 、 DNA sequencing 、 Primer (molecular biology) 、 Identification (biology) 、 Biology 、 Quantitative analysis (finance)
摘要: Background Simple computerized methods that analyse variability along alignments of nucleotide or amino acid sequences can be very useful in a clinical microbiology laboratory for two main purposes. First, to optimize primer selection, which is critical the identification infectious pathogens based on gene sequencing: primers must target conserved regions bordering highly variable areas ensure discrimination species. Second, it interest reveal mutations associated with drug resistance pathogen agents. Our aim was therefore test easy and cost-free tools (SVARAP aSVARAP) require short hands-on work, little expertise, allow visual interpretation statistical analysis results.