Yang Xiaoyu, Dondeti Vijay, Dezube Rebecca, Maynard Dawn M, Geer Lewis Y, Epstein Jonathan, Chen Xiongfong, Markey Sanford P, Kowalak Jeffrey A
National Institutes of Health, 10 Center Drive, Room 3D42, Bethesda, Maryland 20892-1262, USA.
J Proteome Res. 2004 Sep-Oct;3(5):1002-8. doi: 10.1021/pr049920x.
We describe a web-based program called 'DBParser' for rapidly culling, merging, and comparing sequence search engine results from multiple LC-MS/MS peptide analyses. DBParser employs the principle of parsimony to consolidate redundant protein assignments and derive the most concise set of proteins consistent with all of the assigned peptide sequences observed in an experiment or series of experiments. The resulting reports summarize peptide and protein identifications from multidimensional experiments that may contain a single data set or combine data from a group of data sets, all related to a single analytical sample. Additionally, the results of multiple experiments, each of which may contain several data sets, can be compared in reports that identify features that are common or different. DBParser actively links to the primary mass spectral data and to public online databases such as NCBI, GO, and Swiss-Prot in order to structure contextually specific reports for biologists and biochemists.
我们描述了一个名为“DBParser”的基于网络的程序,用于快速筛选、合并和比较来自多个液相色谱-串联质谱肽分析的序列搜索引擎结果。DBParser采用简约原则来整合冗余的蛋白质分配,并得出与在一个实验或一系列实验中观察到的所有已分配肽序列一致的最简洁蛋白质集。生成的报告总结了来自多维实验的肽和蛋白质鉴定结果,这些实验可能包含单个数据集,也可能组合来自一组数据集的数据,所有这些都与单个分析样品相关。此外,多个实验的结果(每个实验可能包含几个数据集)可以在报告中进行比较,以识别相同或不同的特征。DBParser会主动链接到原始质谱数据以及诸如NCBI、GO和Swiss-Prot等公共在线数据库,以便为生物学家和生物化学家构建上下文特定的报告。