Analysis Considerations for Utilizing RNA-Seq to Characterize the Brain Transcriptome

Christina Zheng, Sunita Kawane, Daniel Bottomly, Beth Wilmot

Research output: Contribution to journalArticle

Abstract

RNA-Seq allows one to examine only gene expression as well as expression of noncoding RNAs, alternative splicing, and allele-specific expression. With this increased sensitivity and dynamic range, there are computational and statistical considerations that need to be contemplated, which are highly dependent on the biological question being asked. We highlight these to provide an overview of their importance and the impact they can have on downstream interpretation of the brain transcriptome.

Original languageEnglish (US)
Pages (from-to)21-54
Number of pages34
JournalInternational Review of Neurobiology
Volume116
DOIs
StatePublished - 2014

Fingerprint

RNA Splicing
Untranslated RNA
Alternative Splicing
Transcriptome
Alleles
RNA
Gene Expression
Brain

Keywords

  • Alignment
  • Computational processing
  • Differential expression
  • Functional annotation
  • Mapping
  • RNA-Seq
  • Statistical modeling
  • Transcriptomics

ASJC Scopus subject areas

  • Clinical Neurology
  • Cellular and Molecular Neuroscience
  • Medicine(all)

Cite this

Analysis Considerations for Utilizing RNA-Seq to Characterize the Brain Transcriptome. / Zheng, Christina; Kawane, Sunita; Bottomly, Daniel; Wilmot, Beth.

In: International Review of Neurobiology, Vol. 116, 2014, p. 21-54.

Research output: Contribution to journalArticle

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