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Advances in analyzing RNA diversity in eukaryotic transcriptomes: peering through the Omics lens
Sushant Bangru1, Auinash Kalsotra2
1Department of Biochemistry, University of Illinois at Urbana-Champaign, Illinois, USA.
F1000Research
|December 3, 2016
Summary
New sequencing and biochemical methods reveal RNA variant complexity. These advances aid in RNA variant detection and quantification, despite challenges in data handling.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Eukaryotic transcriptomes exhibit complexity due to alternative splicing, polyadenylation, and RNA chemical modifications.
- Recent advances in sequencing technologies have improved the depth, accuracy, speed, and cost-effectiveness of studying these RNA phenomena.
Approach:
- This work reviews the latest biochemical methods for RNA variant enrichment and analysis.
- Bioinformatics pipelines for identifying and quantifying RNA variants are also discussed.
Key Points:
- The integration of advanced biochemical techniques with global sequencing analysis platforms is crucial.
- New methods enable deeper and more accurate investigation of RNA variants.
- Challenges remain in RNA variant detection and quantification, including sample heterogeneity and big data management.
Conclusions:
- Continued development in biochemical and bioinformatics approaches is essential for understanding RNA variant complexity.
- Addressing challenges in sample handling and data analysis will further enhance RNA variant detection capabilities.
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