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Updated: Jun 18, 2026
09:34
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Next-generation sequencing in aging research: emerging applications, problems, pitfalls and possible solutions.
João Pedro de Magalhães1, Caleb E Finch, Georges Janssens
1School of Biological Sciences, University of Liverpool, Biosciences Building, Crown Street, Liverpool L697ZB, UK. jp@senescence.info
Ageing Research Reviews
|November 11, 2009
Summary
Next-generation sequencing (NGS) offers powerful tools for biological research, aiding in understanding aging and related diseases. Data analysis challenges are discussed, alongside methods for extracting biological insights from complex datasets.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Technological advancements have made DNA sequencing faster and more affordable.
- Next-generation sequencing (NGS) platforms are revolutionizing biological and medical research.
Purpose of the Study:
- To review state-of-the-art NGS platforms and their applications.
- To highlight NGS's role in unraveling aging, longevity, and age-related diseases.
- To discuss challenges and methods for analyzing large-scale NGS data.
Main Methods:
- Overview of current NGS technologies.
- Exploration of applications like genome sequencing, RNA-Seq, ChIP-Seq, and epigenome analysis.
- Discussion of bioinformatics, software, and statistical challenges.
Main Results:
- NGS facilitates deep insights into aging mechanisms and diseases.
- New methods enable comprehensive analysis of genomes, transcriptomes, and epigenomes.
- Functional enrichment, transcriptional regulation, and network analyses are key for data interpretation.
Conclusions:
- NGS platforms are crucial for advancing molecular biology, genetics, and systems biology.
- Despite data analysis challenges, NGS is instrumental for aging research.
- Future research will continue to leverage NGS approaches for biological discovery.
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