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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...
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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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Experimental RNAi02:15

Experimental RNAi

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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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Next-generation Sequencing03:00

Next-generation Sequencing

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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
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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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相关实验视频

Updated: Jun 29, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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库拉雷和GenExVis:用于分析和可视化RNA-Seq数据的多功能工具包.

Patrick Blumenkamp1, Max Pfister2, Sonja Diedrich2

  • 1Bioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany. patrick.blumenkamp@computational.bio.uni-giessen.de.

BMC bioinformatics
|March 30, 2024
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概括

库拉雷和GenExVis简化了用于差异基因表达 (DGE) 研究的RNA-Seq数据分析. 这些工具可以自动化复杂的工作流程,提高可重现性,并简化研究人员对结果的解释.

关键词:
数据可视化数据可视化不同基因表达的差异性这是公平的,公平的.在RNA-Seqq.可复制性 可复制性

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科学领域:

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

背景情况:

  • 高通量RNA-Seq是常见的,但它的计算分析是手动的,容易出错,缺乏可重现性.
  • 对差异基因表达 (DGE) 分析RNA-Seq数据需要专门的生物信息学技能和工具.

研究的目的:

  • 介绍Curare,一个用于RNA-Seq数据分析的多功能工作流构建器.
  • 现在提供GenExVis,以便直接可视化DGE结果.
  • 为整个RNA-Seq数据分析管道提供一个全面的软件环境.

主要方法:

  • 库拉雷提供了一个可定制的工作流构建器,具有预处理,质量控制,映射和下游分析的阶段.
  • GenExVis使用标准数据格式的图表和表来可视化DGE结果.
  • 这两种工具都是为了方便使用和可重复性而设计的.

主要成果:

  • 库拉雷通过结构化的工作流程确保了RNA-Seq数据的可重复性分析.
  • GenExVis 便于在没有数据上传或安装的情况下快速探索和可视化 DGE 结果.
  • 结合的Curare-GenExVis系统简化了整个RNA-Seq数据处理和解释工作流.

结论:

  • 库拉雷和GenExVis显著减轻了RNA-Seq数据分析的计算负担.
  • 这些工具提高了DGE研究的可复制性和可访问性.
  • 综合环境支持研究人员从原始数据到最终解释.