Interpretation of an individual functional genomics experiment guided by massive public data.
Level V
Where this comes from
- Record sourced from PubMed, PMID 30478325.
- Also identified by DOI 10.1038/s41592-018-0218-5 and PMC identifier 6941785.
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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.
Medical subject headings
- Data Interpretation, Statistical
- Gene Regulatory Networks
- Genomics
- Influenza, Human
- Orthomyxoviridae
- Viral Proteins
- Virus Replication