首页|Detection and classification of long terminal repeat sequences in plant LTR-retr otransposons and their analysis using explainable machine learning
Detection and classification of long terminal repeat sequences in plant LTR-retr otransposons and their analysis using explainable machine learning
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Background: Long terminal repeats (LTRs) represent important parts of LTR retro transposons and retroviruses found in high copy numbers in a majority of eukaryo tic genomes. LTRs contain regulatory sequences essential for the life cycle of t he retrotransposon. Previous experimental and sequence studies have provided onl y limited information about LTR structure and composition, mostly from model sys tems. To enhance our understanding of these key compounds, we focused on the con trasts between LTRs of various retrotransposon families and other genomic region s.