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Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
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From differential gene expression to differential gene function and back
Moitreyee Chatterjee-Kishore1, Maryann Z Whitley1
1Department of Genomics, Wyeth Research, 35 CambridgePark Drive, Cambridge, MA 01240, USA.
Drug Discovery Today. Technologies
|July 2, 2014
Summary
Following genome sequencing, researchers aim to identify all transcripts and proteins. Combining gene expression and cellular function technologies will advance biology and drug discovery.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- Genome sequencing for plants and animals is advancing rapidly.
- Identifying all transcripts and proteins is the next logical step.
- Understanding gene expression in relation to physiological and pathological states is crucial.
Purpose of the Study:
- To outline the next steps in biological research following genome decoding.
- To highlight the importance of transcript and protein identification.
- To emphasize the benefits of integrating gene expression and cellular function technologies for biological advancement and drug target discovery.
Main Methods:
- Leveraging high-throughput nucleic acid quantification.
- Employing technologies for monitoring differential gene expression.
- Utilizing methods for defining differential cellular function.
Main Results:
- The study presents a strategic direction for post-genomic research.
- It emphasizes the synergistic potential of combining different technological approaches.
- The integration of gene expression and cellular function analysis is proposed as key.
Conclusions:
- The comprehensive identification of transcripts and proteins is essential for understanding biological systems.
- Integrating gene expression monitoring with cellular function analysis offers significant benefits.
- This integrated approach is vital for advancing biological knowledge and identifying drug targets.
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