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Summary

Next-generation sequencing (NGS) library preparation introduces biases affecting data quality. Understanding these biases in DNA sequencing (DNA-seq) and RNA sequencing (RNA-seq) is crucial for accurate interpretation and method improvement.

Keywords:
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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) has transformed biological research.
  • NGS library preparation involves DNA/RNA fragmentation, adapter ligation, PCR amplification, and sequencing.
  • Robust and unbiased library preparation is critical for reliable NGS data.

Purpose of the Study:

  • To review and discuss biases inherent in common NGS library preparation protocols.
  • To highlight the impact of these biases on DNA sequencing (DNA-seq) and RNA sequencing (RNA-seq) data quality.
  • To offer insights into improving library preparation methods and bioinformatics compensation strategies.

Main Methods:

  • Literature review of existing studies on NGS library preparation biases.
  • Analysis of biases across various steps in DNA-seq and RNA-seq protocols.
  • Discussion of reported methods to mitigate or compensate for identified biases.

Main Results:

  • NGS library preparation protocols, particularly for RNA sequencing (RNA-seq), are prone to introducing biases at multiple steps.
  • These biases can compromise the representativeness of the nucleic acid material and lead to erroneous data interpretation.
  • RNA-seq protocols are generally more susceptible to bias than DNA-seq protocols due to their technical complexity.

Conclusions:

  • A comprehensive understanding of NGS library preparation biases is essential for accurate data analysis.
  • Identifying bias sources aids in improving library quality and developing bioinformatics tools for error correction.
  • This review provides guidance for researchers on converting raw nucleic acids into high-quality NGS libraries.