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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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| Pubblicato in: | PeerJ |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
PeerJ Inc.
2019
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| Soggetti: | |
| Accesso online: | 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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