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相关概念视频

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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相关实验视频

Updated: Jun 21, 2025

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae
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A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae

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用于使用基于云计算的计算环境来分析来自大量RNA测序的细菌基因表达数据的可重复使用教程.

Steven Allers1, Kyle A O'Connell2,3, Thad Carlson2,3

  • 1Department of Molecular and Biomedical Sciences, University of Maine, 5735 Hitchner Hall, Orono, ME 04469, United States.

Briefings in bioinformatics
|July 12, 2024
PubMed
概括
此摘要是机器生成的。

这项研究在谷歌云平台上开发了交互式RNA测序 (RNAseq) 数据分析教程. 这些开源资源旨在改善研究人员获得生物信息学工具和云计算培训的机会.

关键词:
有关RNA测序的RNA测序分析工作流程的工作流程.云计算是云计算中的一个.基因表达的基因表达方式微生物基因组学 微生物基因组学培训培训培训培训培训培训培训

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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相关实验视频

Last Updated: Jun 21, 2025

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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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:

  • 生物医学研究越来越依赖于数据,需要强大的数据管理和分析.
  • 云计算为扩大生物信息应用提供了机会,但也给研究人员,特别是小型机构的研究人员带来了访问和培训挑战.

研究的目的:

  • 为基于云的学习平台开发NIGMS沙箱的资源模块.
  • 为RNA测序 (RNAseq) 数据分析提供交互式学习材料.
  • 解决获取定制生物信息环境和云计算培训的障碍.

主要方法:

  • 开发了五个可重复使用的教程,用于批量RNA测序数据分析.
  • 在谷歌云平台上利用Jupyter笔记本进行交互式工作流程.
  • 采用了一项关于Mycobacterium chelonae的prophage改变药物耐药性的研究中的RNAseq数据集.

主要成果:

  • 教程指导用户通过RNAseq数据分析,从数据子集开始,并进展到完整的数据集.
  • 包括使用R/DESeq2.2对差异表达基因的读数数据的分析.
  • 使用Snakemake和Nextflow与Google Batch生成的阅读计数.

结论:

  • 开发的教程是开源的,可以作为RNAseq数据分析的模板.
  • 该NIGMS沙盒模块增强了基于云的生物信息学工具和培训的可访问性.
  • 通过改进的数据分析能力,促进严格,强大和可重复的生物医学研究.