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


ABSTRACT: 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.

SUBMITTER: Lee YS 

PROVIDER: S-EPMC6941785 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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

Lee Young-Suk YS   Wong Aaron K AK   Tadych Alicja A   Hartmann Boris M BM   Park Christopher Y CY   DeJesus Veronica A VA   Ramos Irene I   Zaslavsky Elena E   Sealfon Stuart C SC   Troyanskaya Olga G OG  

Nature methods 20181126 12


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 aft  ...[more]

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