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Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogen

2020-10-25

Abstract excerpt

Species harbor extensive structural variation underpinning recent adaptive evolution and major disease phenotypes. Most sequence rearrangements are generated non-randomly along the genome through non-allelic recombination and transposable element activity. However, the causality between genomic features and the induction of new rearrangements is poorly established. Here, we analyze a global set of telomere-to-telo...

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Literature Corpus work
0d19c3fa-26b2-596d-b04b-15bb088cce33
DOI
10.1101/2020.10.23.352468
Open publication

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Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogenDOI 10.1101/2020.10.23.352468
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