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

Young suk Lee; Aaron K. Wong; Alicja Tadych; Boris M. Hartmann; Christopher Y. Park; Veronica A. DeJesus; Irene Ramos; Elena Zaslavsky; Stuart C. Sealfon; Olga G. Troyanskaya

doi:10.1038/s41592-018-0218-5

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

Young suk Lee, Aaron K. Wong, Alicja Tadych, Boris M. Hartmann, Christopher Y. Park, Veronica A. DeJesus, Irene Ramos, Elena Zaslavsky, Stuart C. Sealfon, Olga G. Troyanskaya

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1049-1052
Number of pages	4
Journal	Nature Methods
Volume	15
Issue number	12
DOIs	https://doi.org/10.1038/s41592-018-0218-5
State	Published - Dec 1 2018

All Science Journal Classification (ASJC) codes

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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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.",

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AU - Tadych, Alicja

AU - Hartmann, Boris M.

AU - Park, Christopher Y.

AU - DeJesus, Veronica A.

AU - Ramos, Irene

AU - Zaslavsky, Elena

AU - Sealfon, Stuart C.

AU - Troyanskaya, Olga G.

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AB - 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.

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

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