Pooling

Pooling implements combinatorial pooling and barcoding with next-generation sequencing (NGS) to enable deconvolution of individual viral sequences from pooled samples for molecular surveillance and viral population analysis.

Key Features:

• Cost-Effectiveness: Reduces financial and labor costs associated with large-scale viral sequence analysis.
• Combinatorial Pooling Strategy: Employs a combinatorial pooling approach designed to handle complex, highly heterogeneous viral populations, addressing limitations of conventional pooling methods effective for consensus DNA sequencing or SNP detection.
• Barcoding Technology: Integrates barcoding with NGS to enable simultaneous sequencing of multiple samples within pooled groups while preserving the ability to deconvolute individual sequences post-sequencing.
• Computational Framework: Includes algorithms for designing optimal virus-specific pools and for deconvoluting individual viral sequences from pooled NGS datasets.
• High Accuracy in Deconvolution: Experimental validation with hepatitis C virus data demonstrates high accuracy in reconstructing individual viral sequences from pooled samples.

Scientific Applications:

• Molecular Surveillance: Enables large-scale monitoring of viral diseases by sequencing numerous samples from infected patients using pooled NGS.
• Viral Population Analysis: Supports study of the genetic diversity within viral populations to inform virus evolution and epidemiology.
• Cost Reduction in Research: Lowers NGS-related costs to enable more extensive viral research and surveillance efforts.

Methodology:

Combines barcoding and combinatorial pooling, designs optimal virus-specific pools, performs sequencing with NGS, and applies computational algorithms to deconvolute individual samples from pooled sequencing data.