Multi-omics analysis is described as a new technology or research paradigm that assists development of novel genetically encoded biosensors.
First-pass extracted concept
multi-omics analysis
Aliases
different -omics analyses
Extracted Explainers
What the tool is doing
Resources required
What problem it solves
It is positioned as part of the strategy set used to expand biosensor development beyond the current inadequate inventory.
It addresses the difficulty of detecting unique molecular markers for combined abiotic stresses when single-stress or single-omics analyses are insufficient. The integrated approach is presented as revealing markers missed by individual omics layers.
What it does not solve
Evidence Snippets
Central is a bioinformatics-guided antigen selection framework spanning multi-omics analysis, immunogenicity prediction, and vaccine design.
Assisted by new technologies and research paradigms such as multi-omics analysis and de novo protein design
different -omics analyses were conducted... Multi-omics analysis aimed to identify ABA-dependent, ABA-independent, or stress-dependent markers
Supporting Sources
Linked Claims
A bioinformatics-guided antigen selection framework for therapeutic HPV vaccines spans multi-omics analysis, immunogenicity prediction, and vaccine design.
Multi-omics analysis and de novo protein design are emerging strategies that assist development of novel genetically encoded biosensors.
Emerging strategies provide a promising avenue for development of novel tailored genetically encoded biosensors for various applications.
Integrated multi-omics analysis identifies specific markers for each stress condition that are not detectable when each omics layer is analyzed individually.
The multi-omics analysis was used to identify ABA-dependent, ABA-independent, or stress-dependent markers in tomato responses to single or combined salinity and heat stresses.