Weber Thomas, Cosenza Marco Raffaele, Korbel Jan
European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Bridging Research Division on Mechanisms of Genomic Variation and Data Science, German Cancer Research Center (DKFZ), Heidelberg, Germany.
bioRxiv. 2023 Jul 17:2023.07.13.548805. doi: 10.1101/2023.07.13.548805.
Single-cell DNA template strand sequencing (Strand-seq) allows a range of various genomic analysis including chromosome length haplotype phasing and structural variation (SV) calling in individual cells. Here, we present MosaiCatcher v2, a standardised workflow and reference framework for single-cell SV detection using Strand-seq. This framework introduces a range of functionalities, including: an automated upstream Quality Control (QC) and assembly sub-workflow that relies on multiple genome assemblies and incorporates a multistep normalisation module, integration of the scNOVA SV functional characterization and of the ArbiGent SV genotyping modules, platform portability, as well as a user-friendly and shareable web report. These new features of MosaiCatcher v2 enables reproducible computational processing of Strand-seq data, which are increasingly used in human genetics and single cell genomics, towards production environments.
单细胞DNA模板链测序(Strand-seq)可进行一系列不同的基因组分析,包括在单个细胞中进行染色体长度单倍型定相和结构变异(SV)检测。在此,我们展示了MosaiCatcher v2,这是一个使用Strand-seq进行单细胞SV检测的标准化工作流程和参考框架。该框架引入了一系列功能,包括:一个自动化的上游质量控制(QC)和组装子工作流程,它依赖于多个基因组组装并包含一个多步骤归一化模块,整合scNOVA SV功能表征和ArbiGent SV基因分型模块,平台可移植性,以及一个用户友好且可共享的网络报告。MosaiCatcher v2的这些新特性能够对Strand-seq数据进行可重复的计算处理,Strand-seq数据在人类遗传学和单细胞基因组学中越来越多地用于生产环境。