We are delighted to release first reports on DeepTrait Next-generation Markers (NGM) technology applied to learn genetic markers from the genomic data of Escherichia coli and Arabidopsis thaliana.
For E.coli, we present 47 genomic markers for ciprofloxacin resistance 27 of which could be novel, yet undiscovered resistance mechanisms.
For A.thaliana, we present 76 genomic markers for chromosome 1 that reveal flowering time mechanisms. The majority of these mechanisms are not yet studied.
DeepTrait NGM extracts markers at least as predictive as markers obtained with the most advanced methods of today and, in contrast to them, works with the large genome sequences of hundreds of millions base pairs long.
The sections of the reports describe the biological mechanisms revealed by DeepTrait NGM, the predictive power and quality metrics of the markers found, input data used for the marker extraction and the overview of the methodology for marker extraction and testing. Separate sections of the documents provides general information about DeepTrait and NGM technology.