SimulaTE: simulating complex landscapes of transposable elements of populations

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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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Detalles Bibliográficos
Autor principal: Kofler, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905622/
https://www.ncbi.nlm.nih.gov/pubmed/29186298
http://dx.doi.org/10.1093/bioinformatics/btx772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905622/
https://www.ncbi.nlm.nih.gov/pubmed/29186298
http://dx.doi.org/10.1093/bioinformatics/btx772

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