ACACIA
ACACIA performs high-accuracy allele calling from Illumina amplicon sequencing data to genotype complex multigene systems and mitigate PCR and sequencing artifacts.
Key Features:
- High Allele Calling Accuracy: Achieved allele calling accuracy exceeding 98% in validation experiments.
- Artifact Management: Distinguishes chimeric and non-chimeric PCR/sequencing artifacts and characterizes their behavior relative to copy number variation (non-chimeric artifacts increase linearly with CNV; chimeric artifacts stabilize above 4–6 co‑amplified alleles).
- Amplification Efficiency Analysis: Accounts for heterogeneous amplification efficiencies among allelic variants when co‑amplifying multiple loci.
- Benchmarking: Compared against previously published pipelines and demonstrated enhanced reliability and precision in allele calling.
Scientific Applications:
- Genotyping complex multigene systems: Applied to genotype novel complex multigene systems, particularly in non‑model organisms where co‑amplification artifacts complicate inference.
- Validation on Gallus gallus: Validated using chicken (Gallus gallus) with 43 artificial genotypes containing 2–13 alleles per amplicon.
- Simulation of non-model conditions: Evaluated using "naive" primer design based on closely related Galliform species to simulate primer mismatches and non‑model species scenarios.
- CNV and artifact interpretation: Provides empirical insight into how artifact types relate to copy number variation to inform interpretation in high‑CNV datasets.
Methodology:
Processes Illumina amplicon sequencing data through a pipeline that calls alleles while minimizing PCR and sequencing artifacts, compares performance to previously published pipelines, and investigates the relationship between artifacts and copy number variation (CNV).
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Gillingham MA, Montero BK, Wihelm K, Grudzus K, Sommer S, Santos PS. A novel workflow to improve multi-locus genotyping of wildlife species: an experimental set-up with a known model system. Unknown Journal. 2019. doi:10.1101/638288.
DOI: 10.1101/638288
Documentation
Links
Issue tracker
https://gitlab.com/psc_santos/ACACIA/issues