中文摘要：

作为发现疾病相关生物标志物的重要途径，定量研究已成为蛋白质组学的热点问题．随着实验方法的发展和改进，定量数据处理算法也在不断更新和完善．将现有的无标记定量方法归纳为需要／不需要鉴定结果两类方法，分析比较了两类方法的异同及优缺点，详细讨论了所涉及的主要算法，总结了一些常用的无标记定量软件及对应的网络资源．展望了无标记定量数据分析的未来研究方向．

英文摘要：

As a main approach for disease related biomarkers discovery, quantitative research has become a hot topic in proteomics. With the development of experimental methods, the quantitative data processing methods are updated and improved constantly. Two categories of label-free quantitative algorithms are introduced at first, including database-free methods and database searching-based methods. Then, the analysis strategies and the details of the two kinds of methods are described, the advantages and disadvantages are also investigated, the frequently used tools and the corresponding internet resources are summarized. At last, some suggestions for improving the data processing of label-free quantitative proteomics are proposed.