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A systematic review of the application of machine learning in the detection and classification of transposable elements

BACKGROUND: Transposable elements (TEs) constitute the most common repeated sequences in eukaryotic genomes. Recent studies demonstrated their deep impact on species diversity, adaptation to the environment and diseases. Although there are many conventional bioinformatics algorithms for detecting an...

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Publicat a:PeerJ
Autors principals: Orozco-Arias, Simon, Isaza, Gustavo, Guyot, Romain, Tabares-Soto, Reinel
Format: Artigo
Idioma:Inglês
Publicat: PeerJ Inc. 2019
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6967008/
https://ncbi.nlm.nih.gov/pubmed/31976169
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8311
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