Automated recognition of retroviral sequences in genomic data—RetroTector©

@article{Sperber2007AutomatedRO,
  title={Automated recognition of retroviral sequences in genomic data—RetroTector{\textcopyright}},
  author={G. Sperber and T. Airola and P. Jern and J. Blomberg},
  journal={Nucleic Acids Research},
  year={2007},
  volume={35},
  pages={4964 - 4976}
}
Eukaryotic genomes contain many endogenous retroviral sequences (ERVs). ERVs are often severely mutated, therefore difficult to detect. A platform independent (Java) program package, RetroTector© (ReTe), was constructed. It has three basic modules: (i) detection of candidate long terminal repeats (LTRs), (ii) detection of chains of conserved retroviral motifs fulfilling distance constraints and (iii) attempted reconstruction of original retroviral protein sequences, combining alignment, codon… Expand
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