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Systematic survey of plant LTR-retrotransposons elucidates phylogenetic relationships of their polyprotein domains and provides a reference for element classification.

Pavel NeumannPetr NovákNina HoštákováJiří Macas
Published in: Mobile DNA (2019)
We have established an improved classification system applicable to LTR-retrotransposons from a wide range of plant species. This system reflects phylogenetic relationships as well as distinct sequence and structural features of the elements. A comprehensive database of retrotransposon protein domains (REXdb) that reflects this classification provides a reference for efficient and unified annotation of LTR-retrotransposons in plant genomes. Access to REXdb related tools is implemented in the RepeatExplorer web server (https://repeatexplorer-elixir.cerit-sc.cz/) or using a standalone version of REXdb that can be downloaded seaparately from RepeatExplorer web page (http://repeatexplorer.org/).
Keyphrases
  • deep learning
  • machine learning
  • protein protein
  • amino acid
  • cross sectional
  • cell wall
  • psychometric properties
  • emergency department
  • plant growth
  • electronic health record