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

DNA Microarrays02:34

DNA Microarrays

17.3K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.3K
Real Time RT-PCR02:57

Real Time RT-PCR

57.2K
Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
57.2K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.3K
Reporter Genes02:11

Reporter Genes

11.3K
Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
11.3K

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

TabularQual: A spreadsheet-based format for annotating and curating logical models in SBML-qual.

bioRxiv : the preprint server for biology·2026
Same author

Functional Genomics Screening in <i>Chlamydomonas reinhardtii</i> Maps the Genetic Landscape of Tolerance to Paraquat and Diuron.

Environmental science & technology·2026
Same author

Liver sinusoid constraints make random search of CD8 T cells for Plasmodium parasites efficient.

bioRxiv : the preprint server for biology·2025
Same author

Link Prediction in Multipartite Graphs With Application to Drug Repositioning Studies.

IEEE transactions on computational biology and bioinformatics·2025
Same author

Circulating Mycobiota Signatures and Cardiovascular Mortality among Patients Undergoing Hemodialysis.

Journal of the American Society of Nephrology : JASN·2025
Same author

Evaluating plant growth-defense trade-offs by modeling the interaction between primary and secondary metabolism.

Proceedings of the National Academy of Sciences of the United States of America·2025

相关实验视频

Updated: Jun 25, 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

37.2K

对基因同表达值算法的比较研究.

Carissa Bleker1, Stephen K Grady2, Michael A Langston2

  • 1Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.

Journal of computational biology : a journal of computational molecular cell biology
|May 23, 2024
PubMed
概括
此摘要是机器生成的。

这项研究评估了基因共同表达网络的值方法. 在真实生物数据上测试了不同的方法,提供了对网络分析的比较见解.

关键词:
生物数据分析 生物数据分析图形理论算法 图形理论算法这是一个持有值的值.

更多相关视频

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.2K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.5K

相关实验视频

Last Updated: Jun 25, 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

37.2K
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.2K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.5K

科学领域:

  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学
  • 图形理论 图形理论

背景情况:

  • 基因共同表达网络对于理解生物系统至关重要.
  • 确定显著的基因关系需要强大的值方法.
  • 现有的值技术对生物数据的有效性可能有所不同.

研究的目的:

  • 为了研究基因共同表达网络分析中的值问题.
  • 为了比较各种值方法的性能.
  • 为生物数据选择适当方法提供指导.

主要方法:

  • 对基因共同表达数据的图形理论分析.
  • 实施和测试多个值算法.
  • 评估使用来自高通量生物实验的大量图形数据集.

主要成果:

  • 介绍了不同值方法的比较性绩效指标.
  • 讨论了对每个方法的优点和弱点的见解.
  • 这项研究确定了基因共同表达数据的有效值策略.

结论:

  • 值显著影响基因共同表达网络的解释.
  • 选择值方法应该是数据驱动的.
  • 这项研究为选择生物信息学中最佳值技术提供了一个框架.