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by svara
2262 days ago
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They get basically two superimposed chromatograms from Sanger sequencing, one from the control and one from the patient sample. They need to sort out which chromatogram peak belongs to which and calculate the relative abundance of the sequences in the sample from the relative peak intensities. The machine learning angle isn't the exciting part here, it's all the rest. Great idea! |
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