Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

3.5K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.5K
RNA-seq03:21

RNA-seq

9.9K
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...
9.9K

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

Genetic Determinants of Severe Hypertriglyceridemia: Rare Variants in <i>LPL</i>, <i>APOC2</i>, <i>APOA5</i>, <i>GPIHBP1</i>, <i>LMF1</i>, <i>APOE</i> and Polygenic Risk.

International journal of molecular sciences·2026
Same author

Sequence-Based Models for RNA-Protein Interactions Imputation Might Be Insufficient for Novel Signal Prediction in eCLIP Data.

International journal of molecular sciences·2026
Same author

Genetic and Metabolic Factors of Familial Dysbetalipoproteinemia Phenotype: Insights from a Cross-Sectional Study.

International journal of molecular sciences·2025
Same author

A role of pigment epithelium-derived factor in zinc-mediated mechanism of neurodegeneration in glaucoma.

Communications biology·2025
Same author

Immunocytochemical detection of proteins within cellular structures inaccessible to specific antibodies.

Histochemistry and cell biology·2025
Same author

A Novel Bradycardia-Associated Variant in <i>HCN4</i> as a Candidate Modifier in Type 3 Long QT Syndrome: Case Report and Deep In Silico Analysis.

Biomedicines·2025

相关实验视频

Updated: Jun 25, 2025

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

643

巴尔迪克:强大的峰值需要RNA-DNA相互作用数据.

Dmitry E Mylarshchikov1, Arina I Nikolskaya1, Olesja D Bogomaz1

  • 1Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia.

NAR genomics and bioinformatics
|May 22, 2024
PubMed
概括

一种新的计算方法,BaRDIC (双项RNA-DNA交互调用器),可以从全基因组测序数据中准确识别特定的RNA-DNA交互. 它解决了关键的偏见,改善了非编码RNA向研究的峰值检测.

更多相关视频

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

8.1K
Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.3K

相关实验视频

Last Updated: Jun 25, 2025

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

643
Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

8.1K
Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.3K

科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 非编码RNAs (ncRNAs) 是细胞过程的关键调节者,与特定的基因组位置相互作用.
  • 全基因组测序 (NGS) 方法如"一对所有"和"所有对所有"检测这些RNA-DNA相互作用,但容易受到偏差和噪声的影响.
  • 准确识别特定的RNA-DNA相互作用"峰值"对于理解ncRNA功能至关重要.

研究的目的:

  • 开发一种新的计算工具,BaRDIC (双项RNA-DNA交互调用器),用于在RNA-DNA交互数据中强大的峰值检测.
  • 解决NGS数据中固有的偏差,包括染色质异质性和相互作用频率的距离依赖衰变.
  • 提高识别非编码RNA的基因组标的准确性和可靠性.

主要方法:

  • BaRDIC采用了一个针对RNA-DNA相互作用数据量身定制的二项模型.
  • 它独特地解释了染色质异质性和相互作用频率的距离依赖衰变.
  • 该方法根据个人RNA丰度和接触模式自适应地确定峰值大小.

主要成果:

  • 与现有的算法相比,BaRDIC在高峰呼叫中表现出优越的性能.
  • 它有效地处理"全对全"RNA-DNA相互作用数据集的稀疏性特征.
  • 该工具提供了更强大的RNA-基因组标相互作用的预测.

结论:

  • 巴尔迪克代表了分析RNA-DNA相互作用数据的重大进步.
  • 它提供了一种更准确,更可靠的方法来识别ncRNA基因组目标.
  • 免费可用的BaRDIC包为ncRNA功能和调节的进一步研究提供了便利.