Challenges and opportunities in proteomics data analysis
Challenges and opportunities in proteomics data analysis
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DOI：
10.1074/mcp.r600012-mcp200
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发表时间：
2006-10-01
影响因子：
7
通讯作者：
Aebersold, Ruedi
中科院分区：
文献类型：
--
作者：
Domon, Bruno;Aebersold, Ruedi
准确、一致和透明的数据处理和分析是蛋白质组学工作流程中不可或缺的关键部分，特别是对于生物标志物的发现。定义用于数据表示和分析的公共标准以及创建数据存储库对于在社区内比较、交换和共享数据至关重要。讨论了数据处理、分析和验证中的当前问题，以及将来改进流程和定义可选工作流的机会。
Accurate, consistent, and transparent data processing and analysis are integral and critical parts of proteomics workflows in general and for biomarker discovery in particular. Definition of common standards for data representation and analysis and the creation of data repositories are essential to compare, exchange, and share data within the community. Current issues in data processing, analysis, and validation are discussed together with opportunities for improving the process in the future and for defining alternative workflows.