Scaling up the detection of genome-edited rice lines
A new open-access study introduces RiSpy, a data-driven fingerprinting framework that makes the identification of genome-edited (GE) rice lines more robust, scalable and broadly applicable. Researchers from Sciensano, together with CIRAD and DARWIN project partners, in collaboration with colleagues...
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A new open-access study introduces RiSpy, a data-driven fingerprinting framework that makes the identification of genome-edited (GE) rice lines more robust, scalable and broadly applicable. Researchers from Sciensano, together with CIRAD and DARWIN project partners, in collaboration with colleagues from Ghent University, have presented the new methodological framework for the reliable identification of genome-edited (GE) rice lines in the journal Briefings in Bioinformatics.
Originally published at Phys.org
