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The Theory and Practice of Genome Sequence Assembly
1Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada;
Annual Review of Genomics and Human Genetics
|May 5, 2015
Summary
Advances in genome sequencing and computational tools, like genome assemblers, drive the genomic revolution. This review surveys key algorithmic developments in genome sequence assembly over the past 35 years.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- The genomic revolution is fueled by progress in DNA sequencing and computational analysis.
- Genome assemblers are critical computational tools enabling whole-genome sequencing.
- The synergy between biology and computer science is evident in genome assembly development.
Purpose of the Study:
- To survey the historical development of genome sequence assembly algorithms.
- To highlight key advancements in algorithms for assembling genome sequences.
- To provide an overview of computational approaches in genomics.
Main Methods:
- Review of algorithmic developments in genome assembly.
- Historical analysis of genome sequencing technologies.
- Survey of computational tools for sequence data analysis.
Main Results:
- Identification of key milestones in genome assembly algorithm evolution.
- Understanding the impact of computational tools on genomic research.
- Tracing the progress from early DNA sequencing to modern genome assembly.
Conclusions:
- Genome assemblers are indispensable for modern genomics.
- Continuous innovation in algorithms is crucial for advancing genome sequencing.
- The interdisciplinary collaboration between biologists and computational scientists is vital for progress.
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