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
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.9K
Next-generation Sequencing03:00

Next-generation Sequencing

92.6K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
92.6K
Alternative RNA Splicing02:18

Alternative RNA Splicing

21.7K
Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
21.7K

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

High mobility group box 1 (HMGB1) levels in the placenta and in serum in preeclampsia.

American journal of reproductive immunology (New York, N.Y. : 1989)·2011
Same author

Destabilization of coxsackievirus b3 genome integrated with enhanced green fluorescent protein gene.

Intervirology·2011
Same author

[Clinicopathological features of primary splenic histiocytic sarcoma: a case report and literature review].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2011
Same author

[Comparison of treatment with micro endoscopic discectomy and posterior lumbar interbody fusion using single and double B-Twin expandable spinal spacer].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2011
Same author

Virtual transplantation in designing a facial prosthesis for extensive maxillofacial defects that cross the facial midline using computer-assisted technology.

The International journal of prosthodontics·2011
Same author

Total synthesis of phorboxazole A via de novo oxazole formation: convergent total synthesis.

Journal of the American Chemical Society·2010

相关实验视频

Updated: Sep 11, 2025

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9
09:40

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9

Published on: January 3, 2015

95.8K

scGANCL:双向生成对抗网络,用于用对比学习计算scRNA-Seq数据.

Wanwan Shi, Yahui Long, Jiawei Luo

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    一个新的深度学习模型scGANCL有效地归因于单细胞RNA测序 (scRNA-seq) 中缺少的基因表达数据. 这提高了罕见细胞类型的识别,并从复杂的单细胞数据中增强了生物洞察力.

    科学领域:

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

    背景情况:

    • 单细胞RNA测序 (scRNA-seq) 提供了高分辨率的细胞洞察力.
    • 技术噪音会导致中断事件,使scRNA-seq数据分析复杂化.
    • 现有的深度学习归算方法在罕见细胞类型识别方面存在困难.

    研究的目的:

    • 为scRNA-seq数据开发一种先进的归算方法.
    • 为了提高基因表达特征重建的准确性.
    • 为了提高罕见细胞群体的识别.

    主要方法:

    • 一个新的自我监督深度学习模型scGANCL被开发出来.
    • scGANCL将双向生成对抗网络 (BiGAN) 与对比学习 (CL) 集成在一起.
    • 对比式学习通过最小化数据分布差异来增强细胞表示.

    主要成果:

    • scGANCL在十个模拟和七个真实scRNA-seq数据集中表现出卓越的归算性能.
    • 该模型始终超过了七种最先进的归算方法.
    • 废弃性研究证实了单个模型组件的有效性.

    更多相关视频

    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

    769
    Novel Sequence Discovery by Subtractive Genomics
    09:40

    Novel Sequence Discovery by Subtractive Genomics

    Published on: January 25, 2019

    8.7K

    相关实验视频

    Last Updated: Sep 11, 2025

    Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9
    09:40

    Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9

    Published on: January 3, 2015

    95.8K
    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

    769
    Novel Sequence Discovery by Subtractive Genomics
    09:40

    Novel Sequence Discovery by Subtractive Genomics

    Published on: January 25, 2019

    8.7K

    结论:

    • scGANCL为scRNA-seq数据归算提供了一个强大的解决方案,解决掉队事件.
    • 该模型显著改善了下游分析,特别是用于罕见细胞类型检测.
    • 这种方法促进了对单细胞基因表达数据的可靠解释.