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

Nat Methods. 2018 Dec;15(12):1049-1052. doi: 10.1038/s41592-018-0218-5. Epub 2018 Nov 26.


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; ), 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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Cells, Cultured
  • Data Interpretation, Statistical*
  • Datasets as Topic
  • Dendritic Cells / cytology
  • Dendritic Cells / metabolism
  • Gene Regulatory Networks*
  • Genomics / methods*
  • Humans
  • Influenza, Human / genetics*
  • Influenza, Human / metabolism
  • Influenza, Human / virology
  • Orthomyxoviridae / physiology*
  • Viral Proteins / genetics*
  • Virus Replication*


  • Viral Proteins