nf-core/pacsomatic: a scalable somatic analytic pipeline using PacBio HiFi data
MOTIVATION: Pacific Biosciences (PacBio) HiFi long-read sequencing enables robust characterization of complex genomic regions, repetitive elements, and structural variants (SVs) that are often inaccessible to short-read technologies. To fully leverage HiFi reads to advance cancer genomics and epigenetics, researchers require an end-to-end, scalable and optimized bioinformatics workflow. The nf-core framework meets this need by providing rigorously tested, community-curated pipelines that ensure reproducibility, transparency, and broad compatibility across computational environments. RESULTS: We present nf-core/pacsomatic, an automated Nextflow DSL2 pipeline designed for comprehensive paired tumor-normal somatic analysis using PacBio HiFi data. The workflow includes steps for read alignments against reference genome, somatic SNV/indel, SV, and CNV calling, CpG methylation profiling and differential methylation region (DMR) detection. Additional downstream modules support functional annotation, mutational signature analysis, tumor purity and ploidy estimation, and homologous recombination deficiency (HRD) assessment. Utilizing nf-core's modular design and containerized execution, nf-core/pacsomatic provides a stable framework for the reproducible discovery of biological insights. AVAILABILITY: nf-core/pacsomatic is available under the MIT License at nf-core (https://nf-co.re/pacsomatic) and github (https://github.com/nf-core/pacsomatic). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors
- Beifang Niu (ORCID: https://orcid.org/0000-0002-7448-7793)
- Gang Wu (ORCID: https://orcid.org/0000-0002-1678-5864)
- Haidong Yi (ORCID: https://orcid.org/0000-0002-2591-1922)
- Ti-Cheng Chang
- Wenchao Zhang (ORCID: https://orcid.org/0000-0003-4478-8410)
Institutions
- St. Jude Children's Research Hospital (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-08-27
- DOI
- https://doi.org/10.1093/bioinformatics/btag647
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- St. Jude Children's Research Hospital
- Strong