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RNA-seq

RNA-seq

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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Updated: Jul 8, 2025

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

化学小非编码RNA的计算分析教程:目标RNA测序库

Sreenivas Eadara¹, Xinbei Li¹, Emily A Eiss¹

¹Department of Biological Chemistry, Johns Hopkins University School of Medicine.

Journal of visualized experiments : JoVE

|December 18, 2023

概括

此摘要是机器生成的。

本教程介绍了SCRAP,这是一个开源工具,用于分析小仿真RNA测序数据. 它有助于研究人员了解小非编码RNA (sncRNA) 及其标的基因调节.

更多相关视频

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

相关实验视频

Last Updated: Jul 8, 2025

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

科学领域:

分子生物学分子生物学
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

生物化学方法,包括嵌合式RNA测序,已经对小型非编码RNA (sncRNA) 和它们的点之间的体内基因调控相互作用有了更深入的了解.
与miRNA预测软件相比,基因组RNA测序数据集提供了全基因组和不那么模糊的见解.
分析仿真RNA测序数据需要计算专业知识,这对许多生物学家来说是一个障碍.

研究的目的:

为初级计算生物学家提供一个关于安装和应用小化学RNA分析管道 (SCRAP) 的教程.
为了降低生物学家从仿真RNA测序数据中获得洞察力的计算障碍.
促进对调控性sncRNA:目标RNA相互作用的基于发现的调查.

主要方法:

安装和应用开源的小型化学RNA分析管道 (SCRAP).
管道步骤的解释和关键用户输入变量的操纵.
对于SCRAP工具的平台要求和更新.

主要成果:

该教程提供了明确的使用SCRAP的说明.
该SCRAP工具简化了对仿真RNA测序数据的分析.
该报告旨在为生物学家提供用于生物发现的计算工具.

结论:

软件工具SCRAP降低了生物学家分析仿真RNA测序数据的障碍.
对sncRNA:目标RNA相互作用的简化分析可以加速基因调节方面的发现.
本资源支持更广泛地采用生物化学方法来研究基因调节.