Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation

समान संसाधन

• Accounting for GC-content bias reduces systematic errors and batch effects in ChIP-seq data
  द्वारा: Teng, Mingxiang, और अन्य
  प्रकाशित: (2017)
• Overcoming bias and systematic errors in next generation sequencing data
  द्वारा: Taub, Margaret A, और अन्य
  प्रकाशित: (2010)
• IVT-seq reveals extreme bias in RNA sequencing
  द्वारा: Lahens, Nicholas F, और अन्य
  प्रकाशित: (2014)
• Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias
  द्वारा: Zhan, Shuhua, और अन्य
  प्रकाशित: (2021)
• Improving RNA-Seq expression estimates by correcting for fragment bias
  द्वारा: Roberts, Adam, और अन्य
  प्रकाशित: (2011)