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

3.6K
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...
3.6K
RNA-seq03:21

RNA-seq

10.1K
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...
10.1K

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

Promera: a unified model for biomolecular structure prediction, filtering, and design.

bioRxiv : the preprint server for biology·2026
Same author

Memorization in large language models in medicine prevalence characteristics and implications.

Nature communications·2026
Same author

Geographic variation and neighbourhood correlates of mental health-related hospitalizations and emergency department visits in children and youth during the COVID-19 pandemic: a population-based study.

Frontiers in child and adolescent psychiatry·2026
Same author

Evolutionary dynamics under phenotypic uncertainty.

bioRxiv : the preprint server for biology·2026
Same author

Profile of David Baker, Demis Hassabis, and John Jumper: 2024 Nobel laureates in chemistry.

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

Learning the language of protein-protein interactions.

Nature communications·2026
Same journal

Complete sequencing of medaka genomes reveals the architecture of centromeric satellites, giant mobile elements, and sex chromosomes.

Genome research·2026
Same journal

Convergence and conflict among telomere specialized transposons across 60 million years of Drosophilid evolution.

Genome research·2026
Same journal

A unified analysis of cell type- and trajectory-associated pathways in single-cell data using Phoenix.

Genome research·2026
Same journal

Resf1 is required for proper placental development and configuration of trophoblast cell-specific heterochromatin.

Genome research·2026
Same journal

Telomere-driven replicative crisis is driven by large-scale changes in genomic architecture.

Genome research·2026
Same journal

Spatially informed reference-free cell-type deconvolution for spatial transcriptomics with SpatialCD.

Genome research·2026
查看所有相关文章

相关实验视频

Updated: Jul 20, 2025

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

8.7K

使用歧视性序列模型评估转录组重新识别风险.

Shuvom Sadhuka1,2, Daniel Fridman2,3, Bonnie Berger1,2

  • 1Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Genome research
|August 4, 2023
PubMed
概括
此摘要是机器生成的。

基因表达数据可以用来将个人与数据集联系起来,从而构成隐私风险. 一个新的歧视性序列模型 (DSM) 提高了这些链接攻击的准确性,揭示了以前低估的隐私问题.

更多相关视频

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.1K
Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

13.8K

相关实验视频

Last Updated: Jul 20, 2025

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

8.7K
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.1K
Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

13.8K

科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 基因表达量的特征位点 (eQTLs) 将基因变异与基因表达联系起来.
  • 分享omics数据引发了隐私问题,因为可能会重新识别个人.
  • 以前评估链接攻击风险的方法受到限制性假设的限制.

研究的目的:

  • 从基因表达数据来预测基因型的新型框架的开发.
  • 为了提高对OMIC数据集的连接攻击的权力和准确性.
  • 提供一种统一的方法来评估各种omics数据中的隐私风险.

主要方法:

  • 介绍了区分序列模型 (DSM),一个概率框架.
  • 建模了eQTL在基因组区域内的联合分布.
  • 包含了对连接不平衡和冗余信号的校准.

主要成果:

  • 与现有的方法相比,DSM显著提高了链接攻击的准确性.
  • 在各种攻击场景和数据集中展示了增强的链接能力.
  • 确定了先前研究忽视的大量额外的隐私风险.

结论:

  • DSM提供了与基因表达数据相关的隐私风险的更全面的评估.
  • 该框架适用于超越转录组学以外的各种omics数据集.
  • 强调在OMIC数据共享中需要强有力的隐私保护策略.