Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Reply to Górski et al.: Polarization requires opinions, not just negative ties.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Recurrent DNA break clusters drive replication-stress-induced copy number variants and genome diversification.

Nature communications·2026

Same author

Empirical Validation of the Polarization Transition in a Double-Random Field Model of Elections.

Physical review letters·2026

Same author

Reply to Völker et al.: On the evidence of increased close friendships in societies.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Why more social interactions lead to more polarization in societies.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same author

Origins of chromosome instability unveiled by coupled imaging and genomics.

Nature·2025

Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026

Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026

Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026

Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026

Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Jul 13, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

MosaiCatcher v2:一个基于Strand-seq的单细胞结构变异检测和分析参考框架.

Thomas Weber¹, Marco Raffaele Cosenza¹, Jan Korbel^1,2

¹European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.

Bioinformatics (Oxford, England)

|October 18, 2023

概括

此摘要是机器生成的。

MosaiCatcher v2提供了一个标准化的工作流程,用于检测单细胞中的结构变异 (SV),使用DNA模板链序列 (Strand-seq). 这种增强的框架确保了人类遗传学和单细胞基因组学研究的可复制计算处理.

更多相关视频

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

相关实验视频

Last Updated: Jul 13, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

科学领域:

基因组学就是基因组学.
一个单细胞分析.
生物信息学是一种生物信息学.

背景情况:

单细胞DNA模板链序列化 (Strand-seq) 是一种强大的基因组分析技术,包括哈普洛型分相和结构变异 (SV) 调用.
对于Strand-seq数据分析的现有工作流可以是复杂的,缺乏标准化,阻碍可重复性.

研究的目的:

介绍 MosaiCatcher v2,一个标准化的工作流程和参考框架,用于使用 Strand-seq.q. 来检测单细胞 SV.
为了提高Strand-seq数据的计算处理的可复制性和稳定性.

主要方法:

开发自动化的上游质量控制 (QC) 和装配子工作流程,并进行多步规范化.
集成用于SV功能表征和基因定型 (ArbiGent) 的模块.
使用Snakemake工作流管理系统实现平台可移植性.

主要成果:

MosaiCatcher v2 提供自动化 QC,规范化和 SV 分析功能.
该框架整合了 SV 功能表征和基因型定型.
为了可共享的结果,生成了一个用户友好的Web报告.

结论:

MosaiCatcher v2 建立了一个可重现的 Strand-seq 数据的计算处理的基石.
该框架支持人类遗传学和单细胞基因组学的生产环境.
与容器和Conda环境的兼容性确保了强度和可访问性.