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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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RNA-seq03:21

RNA-seq

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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...
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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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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

Updated: Jul 17, 2025

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

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全转录组关联研究:方法,应用和可用数据库的最新进展.

Jialin Mai1,2,3, Mingming Lu1,2,3, Qianwen Gao1,2,3

  • 1National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.

Communications biology
|September 1, 2023
PubMed
概括

全转录组关联研究 (TWAS) 通过分析基因表达来帮助识别与特征相关的基因. 本综述涵盖了TWAS的方法,应用和资源,以了解基因特征联系.

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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科学领域:

  • 遗传学 遗传学 是一个
  • 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:

  • 全基因组关联研究 (GWAS) 识别与遗传性特征相关的遗传变异.
  • 确定这些GWAS变异影响的特定基因仍然是一个重大挑战.

研究的目的:

  • 提供对全转录组关联研究 (TWAS) 的全面审查.
  • 总结TWAS的方法,各种应用和可用的资源.
  • 突出TWAS在将遗传变异与功能基因和生物机制联系方面的作用.

主要方法:

  • TWAS将遗传关联数据与基因表达数据 (eQTL) 集成在一起.
  • 它模拟了遗传变异和基因转录水平之间的监管关系.
  • 使用统计方法来检测显著的基因特征关联.

主要成果:

  • TWAS有效地识别了由特征相关变异调节的功能基因.
  • 它提供了对疾病和其他表型背后的分子机制的洞察.
  • 在TWAS的方法和应用方面取得了许多进展.

结论:

  • TWAS是一种强大的方法,可以弥合遗传关联和生物功能之间的差距.
  • 它增强了我们对复杂特征遗传结构的理解.
  • 本综述对于使用或探索TWAS的研究人员来说是一个有价值的资源.