4.8 Article

Informed-Proteomics: open-source software package for top-down proteomics

期刊

NATURE METHODS
卷 14, 期 9, 页码 909-+

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.4388

关键词

-

资金

  1. NIH National Institute of General Medical Sciences [GM103493]
  2. National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC) [U24CA160019]
  3. National Institute of Allergy and Infectious Diseases NIH/DHHS [Y1-A1-8401-01]
  4. U.S. Department of Energy (DOE) Office of Science and Office of Biological and Environmental Research, under the Pan-omics program
  5. High Resolution and Mass Accuracy Capability development project at the Environmental Molecular Science Laboratory (EMSL), a U.S. DOE national scientific user facility at Pacific Northwest National Laboratory (PNNL) in Richland, Washington
  6. DOE [DE-AC05-76RLO01830]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据