Evaluation of the correctable decoding sequencing as a new powerful strategy for DNA sequencing

Area of Science:

• Genomics
• Biotechnology
• Bioinformatics

Background:

• Next-generation sequencing (NGS) is crucial for precision medicine but faces accuracy limitations.
• Existing NGS technologies require improvement for reliable detection of rare mutations.

Purpose of the Study:

• To introduce a novel duplex sequencing strategy for enhanced accuracy in NGS.
• To evaluate the potential of this strategy for improving sequence decoding, reassembly, and error correction.

Main Methods:

• Simulated sequencing reactions using self-developed software.
• Developed a correctable decoding sequencing strategy based on duplex sequencing.

Main Results:

• Achieved conservative theoretical error rates of 0.0009%, surpassing Sanger sequencing.
• Demonstrated potential for significant improvements in NGS accuracy and error correction.
• Confirmed compatibility with most SBS-based sequencing platforms.

Conclusions:

• The correctable decoding sequencing strategy offers a powerful new protocol for accurate NGS.
• This approach can overcome limitations of current NGS platforms, broadening applications in biology and medicine.
• Enables accurate identification of rare mutations for diverse research and clinical applications.