Objective: To study resistance of MRSA to antibiotics and its distribution, and detect mecA, Panton-Valentine leucocidin (PVL) and SCCmec typing of MRSA isolates.
目的:分析我院MRSA分布特点及耐药情况,检测MRSA的杀白细胞素(Panton-ValentinePVL)基因携带率和SCCmec基因分型,比较CA-MRSA与HA-MRSA之间有无差别,初步了解我院MRSA分子生物学流行性特征,从而进一步指导临床治疗MRSA,指导临床用药,更好地控制MRSA引起的感染,并减少耐药株的出现。
There are several models for the problem: Minimum Fragment Removal(MFR)problem,Minimum SNP Removal(MSR)problem,and Minimum Error Correction(MEC)problem.
该文对MEC问题给出了一个分支定界算法,这个算法能得到问题的全局最优解。
There are several models for the problem, of which we are interestedin the Minimum Error Correction (MEC) problem.
本文对MEC问题设计了一个基于遗传算法的启发式算法。
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