SVScope improves somatic structural variations detection via graph-genome optimization (Somatic SV validations)

作者：Kailing Tu, Qilin Zhang, Yang Eric Li, Yucong Li, Lanfang Yuan, Jing Wang, Jie Tang, Lin Xia, Wei Huang, Dan Xie · 发表于：Zenodo (CERN European Organization for Nuclear Research) · 年份：2026 · DOI：10.5281/zenodo.18688405 · 被引用次数：1 · 研究领域：Computer science、Computational biology、Data mining、Biology、Information retrieval、Genetics、Bioinformatics

This repository contains the extended data files for the manuscript titled "SVScope improves somatic structural variations detection via graph-genome optimization". These files provide experimental and visual validation for the somatic structural variations (SVs) identified by the SVScope pipeline. Content Specification The repository includes two primary compressed archives: Extended Data File 1.zip (somatic SV vcf file): This file contains a comprehensive VCF file representing the somatic structural variation (SV) landscape of the HCC1395 breast cancer cell line, validated through SVScope and orthogonal PCR experiments. Extended Data File 2.zip (IGV Validation): This file includes high-resolution Integrative Genomics Viewer (IGV) snapshots with phasing information for the validated somatic SVs.