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.