Fine-grained annotation and classification of de novo predicted LTR retrotransposons

Long terminal repeat (LTR) retrotransposons and endogenous retroviruses (ERVs) are transposable elements in eukaryotic genomes well suited for computational identification. De novo identification tools determine the position of potential LTR retrotransposon or ERV insertions in genomic sequences. Fo...

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Detalles Bibliográficos
Autores principales: Steinbiss, Sascha, Willhoeft, Ute, Gremme, Gordon, Kurtz, Stefan
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2790888/
https://www.ncbi.nlm.nih.gov/pubmed/19786494
http://dx.doi.org/10.1093/nar/gkp759

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