Toward effective sharing of high-dimensional immunology data

被引：0
|
作者：
Berend Snijder
Richard Kumaran Kandasamy
Giulio Superti-Furga
机构：
[1] The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences,
来源：
Nature Biotechnology | 2014年 / 32卷
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学科分类号：
摘要：
Immunology is on the cusp of a 'big data'–driven breakthrough, but strategies for standardizing and sharing high-dimensional data from independent laboratories are needed to ensure that data support the formation of new and robust hypotheses.
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页码：755 / 759
页数：4
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