SeekDeep: single-base resolution de novo clustering for amplicon deep sequencing

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• PCR amplicon deep sequencing is vital for analyzing genetic diversity in microbial and eukaryotic populations.
• Accurate discrimination of single nucleotide polymorphisms (SNPs) is crucial for understanding population genetics, especially in pathogens like Plasmodium falciparum.
• Current bioinformatics tools face challenges in resolving low-frequency variants and handling low read depths.

Purpose of the Study:

• Introduce the SeekDeep software suite and its core qluster algorithm.
• Demonstrate SeekDeep's superior performance in de novo haplotype clustering compared to existing methods.
• Highlight SeekDeep's utility in extracting maximal biological information from amplicon deep sequencing data.

Main Methods:

• Development of the SeekDeep software suite, incorporating the qluster algorithm.
• Benchmarking SeekDeep against current software using simulated and real-world amplicon deep sequencing datasets.
• Evaluation of performance metrics including accuracy, resolution of single-base differences, and handling of low-frequency and low-depth data.

Main Results:

• SeekDeep accurately clusters de novo haplotypes, resolving single-base differences effectively.
• The software demonstrates superior performance over existing tools, particularly at low sequence frequencies and read depths.
• SeekDeep successfully distinguishes closely related strains and resolves complex genetic variations.

Conclusions:

• SeekDeep offers a robust and accurate solution for analyzing genetic diversity via amplicon deep sequencing.
• Its enhanced resolution capabilities benefit various fields, including infectious disease research and microbial ecology.
• SeekDeep's open-source nature and compatibility with major sequencing technologies ensure broad applicability.