蛋白质组学
计算机科学
软件套件
软件
数据库搜索引擎
串联质谱法
计算生物学
质谱法
生物信息学
化学
色谱法
搜索引擎
生物
情报检索
生物化学
基因
程序设计语言
作者
Jungkap Park,Paul Piehowski,Christopher Wilkins,Mowei Zhou,Joshua Mendoza,Grant M. Fujimoto,Bryson Gibbons,Jared Shaw,Yufeng Shen,Anil Shukla,Ronald J. Moore,Tao Liu,Vladislav Petyuk,Nikola Tolić,Ljiljana Paša‐Tolić,Richard Smith,Samuel Payne,Sangtae Kim
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2017-08-07
卷期号:14 (9): 909-914
被引量:148
摘要
Informed-Proteomics, a software suite for top-down proteomics analysis, consists of a high-accuracy liquid chromatography–mass spectrometry feature-finding algorithm, an efficient database search tool, and an interactive results viewer. Top-down proteomics, the analysis of intact proteins in their endogenous form, preserves valuable information about post-translation modifications, isoforms and proteolytic processing. The quality of top-down liquid chromatography–tandem MS (LC-MS/MS) data sets is rapidly increasing on account of advances in instrumentation and sample-processing protocols. However, top-down mass spectra are substantially more complex than conventional bottom-up data. New algorithms and software tools for confident proteoform identification and quantification are needed. Here we present Informed-Proteomics, an open-source software suite for top-down proteomics analysis that consists of an LC-MS feature-finding algorithm, a database search algorithm, and an interactive results viewer. We compare our tool with several other popular tools using human-in-mouse xenograft luminal and basal breast tumor samples that are known to have significant differences in protein abundance based on bottom-up analysis.
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