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

TitleInterpretation of an individual functional genomics experiment guided by massive public data.
Publication TypeJournal Article
Year of Publication2018
AuthorsLee, Y-S, Wong, AK, Tadych, A, Hartmann, BM, Park, CY, DeJesus, VA, Ramos, I, Zaslavsky, E, Sealfon, SC, Troyanskaya, OG
JournalNat Methods
Volume15
Issue12
Pagination1049-1052
Date Published2018 12
ISSN1548-7105
KeywordsAlgorithms, Cells, Cultured, Data Interpretation, Statistical, Datasets as Topic, Dendritic Cells, Gene Regulatory Networks, Genomics, Humans, Influenza, Human, Orthomyxoviridae, Viral Proteins, Virus Replication
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.

DOI10.1038/s41592-018-0218-5
Alternate JournalNat. Methods
PubMed ID30478325
Grant ListU19 AI117873 / AI / NIAID NIH HHS / United States