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

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
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
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
17.7K

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

Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species.

Medical and veterinary entomology·2023
Same author

Size-age population structure of an endangered and anthropogenically introgressed northern Adriatic population of marble trout (<i>Salmo marmoratus</i> Cuv.): insights for its conservation and sustainable exploitation.

PeerJ·2023
Same author

On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms.

PeerJ. Computer science·2021
Same author

Linking the effects of helminth infection, diet and the gut microbiota with human whole-blood signatures.

PLoS pathogens·2019

相关实验视频

Updated: Jun 28, 2025

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

37.3K

SIEVE:使用RNA-Seq数据的一站式差异表达,可变性和斜率分析.

Hongxiang Li, Tsung Fei Khang

    bioRxiv : the preprint server for biology
    |April 22, 2024
    PubMed
    概括

    一种新的方法,SIEVE,分析RNA-Seq数据以发现差异表达,可变性和斜率. 这种方法提供了对阿尔茨海默氏症等复杂疾病的更全面的理解,通过揭示超出基因表达水平的更广泛的生物变化.

    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.
    • 系统生物学 系统生物学

    背景情况:

    • RNA-Seq数据分析通常仅限于检测差异表达的基因,未能捕捉到基因表达变化的全部复杂性.
    • 对于RNA-Seq计数的离散模型很难完全描述基因表达分布的平均值,方差和斜率.
    • 统一的框架对于系统生物学中全面的RNA-Seq分析至关重要.

    结论:

    • 在复杂的疾病中,SIEVE为了解复杂的基因表达变化提供了一个新的视角.
    • 该方法提高了RNA-Seq数据分析对系统生物学应用的潜力.
    • 通过考虑基因表达分布的多个方面,使得在疾病状态中对生物变化的更全面的看法.

    更多相关视频

    Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
    07:29

    Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

    Published on: May 16, 2020

    6.1K
    Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
    08:35

    Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

    Published on: June 24, 2021

    5.6K

    相关实验视频

    Last Updated: Jun 28, 2025

    Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
    10:10

    Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

    Published on: September 18, 2021

    37.3K
    Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
    07:29

    Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

    Published on: May 16, 2020

    6.1K
    Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
    08:35

    Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

    Published on: June 24, 2021

    5.6K