Interpretation of an individual functional genomics experiment guided by massive public data

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A key unmet challenge in interpreting omics experiments is inferring biological meaning in the context of public functional genomics data. We developed a computational framework, Your Evidence Tailored Integration (YETI; http://yeti.princeton.edu/), which creates specialized functional interaction maps from large public datasets relevant to an individual omics experiment. Using this tailored integration, we predicted and experimentally confirmed an unexpected divergence in viral replication after seasonal or pandemic human influenza virus infection.
Publisher
NATURE PUBLISHING GROUP
Issue Date
2018-12
Language
English
Article Type
Article
Citation

NATURE METHODS, v.15, no.12, pp.1049 - +

ISSN
1548-7091
DOI
10.1038/s41592-018-0218-5
URI
http://hdl.handle.net/10203/280417
Appears in Collection
BiS-Journal Papers(저널논문)
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