Systems and methods for identifying somatic structural variants
The method of extracting and grouping soft-clipped reads with k-mer matching in sequencing data effectively addresses the challenge of identifying somatic structural variants, enhancing diagnostic and treatment capabilities for diseases like cancer.
Patent Information
- Application Number
- PCT/US2025/043101
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-08-23
- Filing Date
- 2025-08-22
- Publication Date
- 2026-02-26
AI Technical Summary
Existing systems face challenges in accurately identifying somatic structural variants in sequencing data due to computational intensity and error-prone processes, particularly in sequencing by expansion (SBX) data, which lacks discordant reads and may not provide sufficient data for somatic structural variant detection.
A method involving soft-clipped read extraction, grouping by breakpoints, and k-mer matching is employed to identify somatic structural variants, utilizing sequencing data from processes like targeted, whole genome, or whole transcriptome sequencing, with error correction and secondary alignment information to enhance accuracy.
This approach improves the identification of somatic structural variants, particularly those associated with cancer, by reducing errors and enhancing computational efficiency, enabling better diagnosis, prognosis, and treatment strategies.