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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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DNA Microarrays02:34

DNA Microarrays

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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...
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What is Gene Expression?01:42

What is Gene Expression?

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Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
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Ribosome Profiling02:24

Ribosome Profiling

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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...
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
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相关实验视频

Updated: Jul 8, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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基因组相关性丰富分析用于解释和注释基因表达特征.

Lan-Yun Chang1, Meng-Zhan Lee1, Yujia Wu1

  • 1Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.

Nucleic acids research
|December 14, 2023
PubMed
概括

Gscore是一种新的基因组相关性丰富分析方法,可以从基因表达数据中改进路径识别. 它在发现与疾病相关的途径和理解基因与疾病的关系方面优于现有的方法.

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相关实验视频

Last Updated: Jul 8, 2025

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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:

  • 路径分析解释了表型之间的基因表达差异.
  • 基于拓学的 (TB) 方法通常通过考虑基因相互作用,优于非TB方法.
  • 现有的TB方法面临不完整的路径数据和参考网络选择的局限性.

研究的目的:

  • 介绍Gscore,一种新的基因组相关性丰富分析方法.
  • 评估Gscore的性能与使用各种人类疾病表达数据集的最先进方法进行比较.
  • 探索Gscore在分析COVID-19相关基因表达数据中的实用性.

主要方法:

  • 开发了基于表达式数据集衍生的协同表达网络的Gscore.
  • 评估是否差异表达基因 (DEG) 列表或单个DEG与已知的基因组相关.
  • 将Gscore与89个人类疾病表达数据集中的其他8种方法进行比较.

主要成果:

  • 与其他八种方法相比,Gscore在识别目标途径方面表现优异.
  • 该方法提供了对全疾病和全途径与临床结果的关联的见解.
  • 对COVID-19数据的应用揭示了DEGs在相关途径中的影响.

结论:

  • Gscore提供了一种强大的分析方法,用于注释DEG和表达式配置文件.
  • 该方法通过利用共同表达网络来增强生物解释.
  • Gscore有助于理解基因与疾病的关联以及临床相关性.