This is where machine learning comes in. We are training machine learning programs ... Will a different pore size make our method more sensitive because our current nanopore was optimized for DNA ...

As with DNA sequencing, ratcheting the peptide through the nanopore changes the ion current, and the researchers can link the changes to a specific sequence of amino acids in their designed peptide.

Machine learning models can be a ... letters to different atom configurations and creates a sequence of all the atoms on the edge of a nanopore to specify its shape. For instance, a fully bonded ...

This work is published in The American Journal of Human Genetics, in an article titled, “Advancing long-read nanopore genome assembly and accurate variant calling for rare disease detection.” ...

This image compares three DNA sequencing technologies: Sanger sequencing, Massively Parallel DNA sequencing, and Nanopore DNA sequencing. Sanger sequencing (left) sequences 500-700 bases per reaction ...

The new language developed can be used to train machine learning models ... atom combinations and generates a sequence representing all the atoms on a nanopore’s edge to characterize its geometry.