A Golden Age for Working with Public Proteomics Data.
A Golden Age for Working with Public Proteomics Data.
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DOI：
10.1016/j.tibs.2017.01.001
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发表时间：
2017-05
影响因子：
13.8
通讯作者：
Vizcaíno JA
中科院分区：
文献类型：
--
作者：
Martens L;Vizcaíno JA
Data sharing in mass spectrometry (MS)-based proteomics is becoming a common scientific practice, as is now common in the case of other, more mature ‘omics’ disciplines like genomics and transcriptomics. We want to highlight that this situation, unprecedented in the field, opens a plethora of opportunities for data scientists. First, we explain in some detail some of the work already achieved, such as systematic reanalysis efforts. We also explain existing applications of public proteomics data, such as proteogenomics and the creation of spectral libraries and spectral archives. Finally, we discuss the main existing challenges and mention the first attempts to combine public proteomics data with other types of omics data sets. The field of proteomics has matured and diversified substantially over the past 10 years. Proteomics data are increasingly shared through centralized, public repositories. Standardization efforts have ensured that a large proportion of these public data can be read and processed by any interested researcher. Because any proteomics data set is only partially understood, there is great opportunity for (orthogonal) reuse of public data. While public proteomics data has so far remained outside ethics and privacy discussions, recent work indicates that there is an inherent risk.
