Detecting foldback artifacts in long-reads
Long-read sequencing data is useful for detecting large and complex structural variations; however, technical artifacts can lead to false structural variant calls. In our analyses, we became aware of a foldback artifact in long-read data. Therefore, we developed the open-source Breakinator tool to flag putative foldback artifact reads, as well as previously known chimeric artifacts. Through an alignment-based approach, Breakinator can detect artifacts missed by existing quality control tools. We profiled the occurrences of foldbacks and chimeric reads in both Oxford Nanopore and PacBio sequences across a range of specimens, library types, sequencing chemistries, sequencing machines, and base-calling software.
Authors
- M. Meyerson
- Jakob Heinz (ORCID: https://orcid.org/0000-0002-9218-2643)
- Heng Li (ORCID: https://orcid.org/0000-0003-4874-2874)
Institutions
- Broad Institute (US)
- Harvard University (US)
- Dana-Farber Cancer Institute (US)
- Dana-Farber/Harvard Cancer Center (US)
Publication Details
- Journal
- BMC Genomics
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1186/s12864-025-12492-y
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00