maximum emission concentration

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。