FREQ-Seq2

FREQ-Seq2 quantifies allele frequencies in mixed population samples using paired barcode sequences and Illumina sequencing to provide high-throughput, precise measurements for genetic, evolutionary, and disease-risk analyses.


Key Features:

  • High Throughput: Utilizes paired barcode sequences to multiplex sample processing from 48 to 2,304 samples per run.
  • Targeted Amplification: Enables targeted amplification of specific genomic regions using universal barcoded adapters to construct Illumina sequencing libraries for loci of interest.
  • Error Detection and Correction: Implements mechanisms to detect and remove errors that are undetectable by the original FREQ-Seq method and other conventional allele frequency quantification methods.
  • Analysis Software: Provides accompanying software to analyze sequenced libraries from multiplexed experiments.

Scientific Applications:

  • Population Genetics: Provides precise allele frequency data to support development and testing of population genetic models.
  • Genome-Wide Association Studies (GWAS): Supports accurate allele frequency estimation to inform GWAS and genetic association inference.
  • Disease Risk Assessment: Facilitates determination of genetic risk factors for disease and related risk analyses.
  • Evolutionary Dynamics: Enables tracking of allele frequency changes over time to study evolutionary processes.

Methodology:

Sequencing-based approach using paired barcode sequences and universal barcoded adapters to build Illumina sequencing libraries, validated with highly multiplexed control samples and competitive evolution experiments in Escherichia coli.

Topics

Details

License:
CC-BY-4.0
Cost:
Free of charge
Tool Type:
workflow
Programming Languages:
C
Added:
1/10/2024
Last Updated:
11/24/2024

Operations

Publications

Zhao R, Lukacsovich T, Gaut R, Emerson JJ. FREQ-Seq2: a method for precise high-throughput combinatorial quantification of allele frequencies. G3: Genes, Genomes, Genetics. 2023;13(10). doi:10.1093/g3journal/jkad162. PMID:37494033. PMCID:PMC10542570.

PMID: 37494033
Funding: - US National Institutes of Health: R01GM123303-1, T32-EB009418-07 - National Science Foundation Graduate Research Fellowship: DGE-1321846 - University of California, Irvine: 1S10OD010794-01, 1S10OD021718-01, 1S10RR025496-01