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Related Concept Videos

Next-generation Sequencing03:00

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Advancements in long-read genome sequencing technologies and algorithms.

Elena Espinosa1, Rocio Bautista2, Rafael Larrosa3

  • 1Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain.

Genomics
|April 12, 2024
PubMed
Summary

Advancements in long read sequencing (PacBio, ONT) improve genome assembly accuracy and cost. However, challenges remain in de novo whole-genome assembly quality, requiring careful selection of platforms and tools for robust results.

Keywords:
Genome assemblyHybrid assemblyLong reads

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology and Genetics

Background:

  • Long read sequencing technologies, including Pacific Biosciences (PacBio) and Oxford Nanopopore technology (ONT), have significantly advanced genome sequencing.
  • Despite improvements in accuracy and cost, de novo whole-genome assembly quality remains a significant challenge.
  • The rapid development of new assembly tools requires careful consideration of sequencing platforms, depth, and methodologies.

Purpose of the Study:

  • To review the current landscape of long read sequencing technologies and their impact on genome assembly.
  • To explore the challenges and opportunities in de novo whole-genome assembly.
  • To provide guidance on selecting optimal strategies for high-quality genome reconstructions.

Main Methods:

  • Comprehensive literature review of long read sequencing technologies (PacBio, ONT).
  • Analysis of current de novo whole-genome assembly methodologies and tools.
  • Evaluation of factors influencing genome assembly quality, including sequencing platform, depth, and computational approaches.

Main Results:

  • Long read sequencing has enhanced genome assembly capabilities but introduces new complexities.
  • The choice of sequencing platform, sequencing depth, and assembly algorithms critically impacts the quality of genome assemblies.
  • A dynamic field with continuous innovation in assembly tools necessitates informed decision-making.

Conclusions:

  • Achieving robust and insightful genome assemblies requires a strategic approach to selecting sequencing technologies and assembly methods.
  • Further research and development are needed to overcome persistent challenges in de novo whole-genome assembly.
  • This review highlights key considerations for researchers aiming to optimize genome assembly strategies.