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

RNA-seq03:21

RNA-seq

10.4K
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...
10.4K
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

3.8K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
3.8K
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

6.5K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
6.5K
Introduction to R01:11

Introduction to R

612
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
612
Sanger Sequencing01:57

Sanger Sequencing

757.5K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
757.5K
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

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

A comprehensive reference genome assembly dataset of birds inhabiting Denmark, Greenland, and the Faroe Islands.

GigaScience·2026
Same author

The Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026
Same author

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

Genome research·2026
Same author

Assessing Climate Adaptation Among Canada Lynx (Lynx canadensis) Populations at the Trailing Edge.

Molecular ecology·2026
Same author

Evaluating open LLMs for agentic analysis orchestration in a typical biomedical lab.

bioRxiv : the preprint server for biology·2026
Same author

Fixed human pangenome sequences reveal origins of common human traits.

bioRxiv : the preprint server for biology·2026

相关实验视频

Updated: Sep 14, 2025

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.3K

测序的评估在使用 rdevalval 的尺度上进行读取.

Giulio Formenti1, Bonhwang Koo1, Marco Sollitto1,2

  • 1The Vertebrate Genome Laboratory, The Rockefeller University, 1230 York Ave, New York City, NY 10065, United States.

Bioinformatics (Oxford, England)
|July 22, 2025
PubMed
概括

一个新的工具,rdeval,有效地计算和可视化对大型数据集的序列阅读指标. 它有助于评估序列数据质量,并支持基因组组装项目.

更多相关视频

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

5.9K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K

相关实验视频

Last Updated: Sep 14, 2025

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.3K
G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

5.9K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K

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:

  • 数据测序的快速增长需要高效的分析工具.
  • 评估序列读取质量和统计数据对于大型基因组项目至关重要.

研究的目的:

  • 开发一个独立的工具,rdeval,用于快速计算和测序读取指标的可视化.
  • 解决基因组学中对有效序列数据评估的需求.

主要方法:

  • 在C++中,Rdeval用于处理,R用于可视化.
  • 它可以在飞行中计算指标或将它们存储在"快照"文件中.
  • 支持像FASTA,BAM和CRAM这样的格式之间的转换.

主要成果:

  • Rdeval提供交互式显示和详细的视觉报告,对数据分析进行测序.
  • BAM格式提供了压缩和访问速度之间的平衡.
  • 对PacBio长时间阅读数据的分析显示,随着时间的推移,阅读长度,质量和覆盖率都有所改善.

结论:

  • Rdeval 增强了基因组项目的测序数据的评估.
  • 该工具支持各种测序平台和数据类型.
  • 它在多个平台上的可用性和与Bioconda/Galaxy的集成增加了可访问性.