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

Christina L. Zheng, Sunita Kawane, Daniel Bottomly, Beth Wilmot

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

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)
Title of host publicationInternational Review of Neurobiology
PublisherAcademic Press Inc.
Pages21-54
Number of pages34
DOIs
StatePublished - Jan 1 2014

Publication series

NameInternational Review of Neurobiology
Volume116
ISSN (Print)0074-7742

Keywords

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

ASJC Scopus subject areas

  • Clinical Neurology
  • Cellular and Molecular Neuroscience

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  • Cite this

    Zheng, C. L., Kawane, S., Bottomly, D., & Wilmot, B. (2014). Analysis Considerations for Utilizing RNA-Seq to Characterize the Brain Transcriptome. In International Review of Neurobiology (pp. 21-54). (International Review of Neurobiology; Vol. 116). Academic Press Inc.. https://doi.org/10.1016/B978-0-12-801105-8.00002-3