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Updated: Jun 23, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression
Joshua S Bloom1, Zia Khan, Leonid Kruglyak
1Lewis-Sigler Institute of Integrative Genomics, Princeton University, New Jersey, USA. jbloom@princeton.edu
Comparing gene expression technologies, full-length cDNA sequencing and microarrays show similar performance for differential gene expression analysis. Sequencing also reveals allele-specific expression and heterozygosity.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- High-throughput cDNA sequencing of poly(A)-enriched RNA is an emerging technology.
- It aims to replace microarrays for quantitative gene expression measurement.
Purpose of the Study:
- Compare full-length cDNA sequencing to 2-channel gene expression microarrays.
- Evaluate their effectiveness in measuring differential gene expression.
Main Methods:
- Focused on data from a single Illumina 1G sequencer lane due to comparable cost to microarrays.
- Compared sequencing data against a highly replicated microarray experiment.
- Utilized a large number of quantitative PCR (qPCR) assays for validation.
Main Results:
- Neither cDNA sequencing nor microarrays were decisively superior for differential gene expression measurement.
- Full-length cDNA sequencing identified heterozygosity in a diploid hybrid of S. cerevisiae.
- Quantitative allele-specific expression was measured simultaneously with sequencing.
Conclusions:
- Full-length cDNA sequencing offers a viable alternative to microarrays for gene expression studies.
- This technology provides additional insights into genetic variation and allele-specific expression.
- Further research can leverage cDNA sequencing for comprehensive genomic analysis.
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