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

Authors
Publisher
Elsevier Science & Technology
Identifiers
DOI: 10.1016/b978-0-12-801105-8.00002-3
Keywords
  • Transcriptomics
  • Differential Expression
  • Statistical Modeling
  • Alignment
  • Computational Processing
  • Rna-Seq
  • Mapping
  • Functional Annotation
Disciplines
  • Biology
  • Computer Science

Abstract

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.

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