Next-Generation Molecular Diagnostics: Leveraging Digital Technologies To Enhance Multiplexing in Real-Time PCR
Multiple solutions have been devised to increase multiplexing in qPCR, including single-well techniques, using target-specific fluorescent oligonucleotide probes and spatial multiplexing, where segregation of the sample enables parallel amplification of multiple targets.
There is a need for innovations that will push forward the multiplexing field in qPCR, enabling the next generation of diagnostic tools which could accommodate high throughput in an affordable manner. To this end, the use of machine learning algorithms has recently emerged to leverage information contained in amplification and melting curves– two of the most standard biosignals emitted during qPCR – for accurate classification of multiple nucleic acid targets in a single reaction.
- Learn the principles of multiplexing in qPCR
- Understand the limitations of existing multiplexing solutions in qPCR
- Discover the applications of machine-learning to qPCR
- Gain knowledge about the potential of data-driven solutions
Thermo Fisher Scientific are not affiliated with the webinar speaker. Any application of machine learning technologies with the Diomni™ software package, related assay definition files (ADFs) and related qPCR instruments are for research use only.
