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LtrDetector: A tool-suite for detecting long terminal repeat retrotransposons de-novo.

Joseph D ValenciaHani Z Girgis
Published in: BMC genomics (2019)
LtrDetector uses a novel methodology revolving around k-mer distributions, which allows it to produce high-quality results using relatively lightweight procedures. It is easy to install and use. It is not species specific, performing well using its default parameters on genomes of varying size and repeat content. It is automatically configured for parallel execution and runs efficiently on an ordinary personal computer. It includes a k-mer scores visualization tool to facilitate manual review of the identified elements. These features make LtrDetector an attractive tool for future annotation projects involving long terminal repeat retrotransposons.
Keyphrases
  • functional connectivity
  • deep learning
  • machine learning
  • quality improvement
  • resting state
  • rna seq
  • genetic diversity