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Review of general algorithmic features for genome assemblers for next generation sequencers
1Department of Electrical Engineering, University of Engineering and Technology, Lahore 54890, Punjab, Pakistan. bilalwajidabbas@hotmail.com
Genomics, Proteomics & Bioinformatics
|July 10, 2012
Summary
This review explores genome assembly algorithms for next-generation sequencing (NGS) data. It provides a qualitative overview of major genome assemblers and their working principles for bioinformatics researchers.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Sequence data (genes, proteins, RNA) is fundamental to bioinformatics analysis.
- Genome assembly is the process of reconstructing the entire genome sequence from fragmented data.
- Next-generation sequencing (NGS) platforms generate vast amounts of sequence data, posing challenges for assembly.
Purpose of the Study:
- To provide an overview of genome assembly techniques for NGS platforms.
- To discuss the working principles of major genome assemblers.
- To offer a qualitative tutorial on genome assembly for researchers.
Main Methods:
- Review of existing literature on genome assemblers.
- Analysis of theoretical aspects and working schemes of various assemblers.
- Qualitative comparison of different genome assembly approaches.
Main Results:
- Identification and discussion of key genome assemblers developed over the past decade.
- Explanation of the fundamental principles behind different assembly algorithms.
- Insights into current trends and challenges in genome assembly software.
Conclusions:
- Genome assembly remains a critical challenge in bioinformatics.
- Understanding assembler principles is crucial for effective genomic analysis.
- Future directions emphasize software simplicity and improved assembly accuracy.
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