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Contribution to Book
RNA-seq Data Analysis for Differential Expression
Biology Faculty Books and Book Chapters
  • Navdeep Gill, University of Arkansas, Fayetteville
  • Braham Dhillon, University of Florida
Book Title
Methods in Molecular Biology
ORCID ID
0000-0003-3746-1866
Document Type
Book Chapter
ISBN
978-1-0716-1795-3
Publication Date
10-23-2021
Editors
John M. Walker
Keywords
  • RNA-seq,
  • Transcriptome,
  • Transcript profile,
  • Data analysis,
  • Pipeline,
  • Differentially expressed genes,
  • Splice-aware,
  • HISAT2,
  • StringTie,
  • DESeq2
Description

Changes in the surrounding environment are mirrored by changes in the transcript profile of an organism. In the case of a plant pathogen, host colonization would be a challenge that triggers changes in transcript expression patterns. Determining the transcriptional profile could provide valuable clues on how an organism responds to defined stimuli, in this case, how a pathogen colonizes its host. Several robust data analysis methods and pipelines are available that can identify these differentially expressed transcripts. In this chapter we outline the steps and other caveats that are needed to run one such pipeline.

DOI
10.1007/978-1-0716-1795-3_4
Publisher
Springer
Disciplines
Citation Information
Navdeep Gill and Braham Dhillon. "RNA-seq Data Analysis for Differential Expression" (2021) p. 45 - 54
Available at: http://works.bepress.com/navdeep-gill/1/