使用pFind软件深度检测蛋白质修饰

Tandem mass spectrometry-based protein identification provides a powerful means for large-scale mapping of post-translational modifications. However, due to the complexity of tandem mass spectra and the large number of modifications, comprehensive and efficient detection of modifications remains an unsolved problem. This paper briefly describes a new solution used by the pFind software for in-depth detection of modifications.     

利用磷酸化质谱的预处理提高磷酸化肽的鉴定

Post-acquisition mass spectral processing can significantly enhance the identification rate from both MS and MS/MS spectra. In this study we focused on how to improve phosphopeptide identification by utilizing the neutral-loss patterns hidden in a large set of tandem mass spectra. We also calibrated the precursor mass to further improve their mass measurement accuracy. The experiments on iPRG2010 data set show that these two types of spectral preprocessing can greatly benefit the phosphopeptide identification using both our developed search engine pFind and the commercial software Mascot.     

音乐评论的情感挖掘研究

在当今数字化与网络化时代,图像、音频和视频等多媒体内容已成为互联网信息高速公路上传送数据的重要部分,基于音乐情感的检索技术应运而生.音乐的群众情感则由大量的普通用户通过各种形式表达出来,其中论坛中带交互性的音乐评论则为典型的音乐情感表达形式.从海量Web文本信息中得到音乐的情感等属性并将结果合理地返回给依据情感搜索的用户是一个创新性的解决方案.实践结果证明,音乐论坛主题挖掘系统相对于目前的基于音乐本身的研究具有更大的合理性,对用户的搜索返回具有更强的说服力.