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相关概念视频

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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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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相关实验视频

Updated: Jul 27, 2025

Transcriptome Analysis of Single Cells
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Transcriptome Analysis of Single Cells

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GRACE:一个全面的基于网络的平台,用于整合单细胞转录组分析.

Hao Yu1,2,3,4, Yuqing Wang1,2, Xi Zhang1,2,4

  • 1Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing 400037, China.

NAR genomics and bioinformatics
|June 12, 2023
PubMed
概括
此摘要是机器生成的。

一个新的在线平台,GRACE,为研究人员简化了大规模单细胞RNA测序 (scRNA-seq) 数据分析. 这种用户友好的工具增强了数据探索和可重现性,弥合了实验生物学和计算生物学之间的差距.

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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相关实验视频

Last Updated: Jul 27, 2025

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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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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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

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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.
  • 计算生物学 计算生物学

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 对于理解细胞异质性至关重要.
  • 现有的计算需求限制了非编程研究人员的可访问性.
  • 需要为scRNA-seq数据分析提供用户友好的,可扩展的平台.

研究的目的:

  • 开发GRACE,一个基于网络的平台,用于可访问的,大规模的scRNA-seq数据分析.
  • 为了提高scRNA-seq数据探索中的交互性和可重现性.
  • 弥合实验和生物信息学研究之间的差距.

主要方法:

  • 开发一个基于网络的平台 (GRACE),用于在线 scRNA-seq 分析.
  • 集成预处理,集群,轨迹推断和细胞间通信分析.
  • 提供交互式可视化,定制参数和出版质量的图表.
  • 可用于私人服务器部署的Docker版本的可用性和自由可用的源代码.

主要成果:

  • 格雷斯允许交互可视化和定制分析大规模的scRNA-seq数据集.
  • 该平台集成了包括发展轨迹推断和细胞类型注释在内的全面分析模块.
  • 在科学界,GRACE提高了scRNA-seq数据分析的可复制性和可访问性.
  • 一个Docker版本和可访问的源代码促进了灵活的部署和协作.

结论:

  • 格雷斯提供了一个用户友好的,可扩展的解决方案,用于分析大规模的scRNA-seq数据.
  • 该平台为没有广泛编程专业知识的研究人员提供了复杂的基因组数据分析.
  • 在单细胞转录组学研究中,GRACE有效地解决了对综合工具的需求.