TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model

INTRODUCTION: Recent studies highlight the crucial regulatory roles of transposable elements (TEs) on proximal gene expression in distinct biological contexts such as disease and development. However, computational tools extracting potential TE –proximal gene expression associations from RNA-sequenc...

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Detalles Bibliográficos
Autores principales: Karakülah, Gökhan, Arslan, Nazmiye, Yandım, Cihangir, Suner, Aslı
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899341/
https://www.ncbi.nlm.nih.gov/pubmed/31824778
http://dx.doi.org/10.7717/peerj.8192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899341/
https://www.ncbi.nlm.nih.gov/pubmed/31824778
http://dx.doi.org/10.7717/peerj.8192

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