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

Karakulah G., Arslan N., Yandim C., SUNER KARAKÜLAH A.

PEERJ, cilt.7, 2019 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7
  • Basım Tarihi: 2019
  • Doi Numarası: 10.7717/peerj.8192
  • Dergi Adı: PEERJ
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Transposable elements, Gene regulation, Gene expression, Regression, Linear model, R package, IN-SITU, BREAST, DNA, TRANSCRIPTOME, MUTATION, CELLS, FEN1
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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-sequencing data are still missing.