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SimulaTE: simulating complex landscapes of transposable elements of populations
MOTIVATION: Estimating the abundance of transposable elements (TEs) in populations (or tissues) promises to answer many open research questions. However, progress is hampered by the lack of concordance between different approaches for TE identification and thus potentially unreliable results. RESULT...
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| Publicado no: | Bioinformatics |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5905622/ https://ncbi.nlm.nih.gov/pubmed/29186298 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx772 |
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