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 [Kayikcioglu T, Amirzadegan J, Rand H, Tesfaldet B, Timme RE, Pettengill JB. Performance of methods for SARS-CoV-2 variant detection and abundance estimation within mixed population samples. PeerJ. 2023 Jan 26;11:e14596. doi: 10.7717/peerj.14596. PMID: 36721781; PMCID: PMC9884472.](https://pubmed.ncbi.nlm.nih.gov/36721781/)
 
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+**Given the [project timeline](https://www.fda.gov/food/whole-genome-sequencing-wgs-program/wastewater-surveillance-sars-cov-2-variants), C-WAP will no longer be under active  development or maintenance come June 30, 2023. [Freyja](https://github.com/andersen-lab/Freyja) or [Kallisto](https://github.com/pachterlab/kallisto) (two of the tools C-WAP incorporates) may be of interest.  Thank you for joining us on our analytic journey.**
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 C-WAP is a Nextflow, Python, and bash-based bioinformatics pipeline for the analysis of either long-read (ONT or PacBio) or short-read (Illumina) whole genome sequencing
 data of DNA extracted from wastewater. It was developed for SARS-CoV2 and its variants.