2018
DOI: 10.1101/342618
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Machine learning techniques for classifying the mutagenic origins of point mutations

Abstract: There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a unique relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases, e.g. CpG hypermutability. We h… Show more

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“…We examined levels of nucleotide sequence diversity in 27 soybean lines subjected to FN mutagenesis. Most assays of genetic variants include variants arising from a mixture of mutagenic processes (40). The primary difficulty is distinguishing FN-induced single nucleotide variants from those that arise from spontaneous mutations.…”
Section: Discussionmentioning
confidence: 99%
“…We examined levels of nucleotide sequence diversity in 27 soybean lines subjected to FN mutagenesis. Most assays of genetic variants include variants arising from a mixture of mutagenic processes (40). The primary difficulty is distinguishing FN-induced single nucleotide variants from those that arise from spontaneous mutations.…”
Section: Discussionmentioning
confidence: 99%