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相关概念视频

RNA-seq03:21

RNA-seq

12.2K
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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相关实验视频

Updated: Feb 28, 2026

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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单细胞RNA测序数据处理使用基于云的无服务器计算.

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    此摘要是机器生成的。

    无服务器云计算加速了单细胞RNA测序 (scRNA-seq) 数据分析. 这种方法创造了一个按需的超级计算机,显著加快了大型scRNA-seq数据集的处理速度.

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    科学领域:

    • 计算生物学 计算生物学
    • 生物信息学是一种生物信息学.
    • 云计算 云计算 云计算

    背景情况:

    • 单细胞RNA测序 (scRNA-seq) 对于理解细胞活动至关重要.
    • 处理大型scRNA-seq数据集需要大量的计算资源.
    • 云计算提供了可扩展的解决方案,而不需要大量的基础设施投资.

    研究的目的:

    • 开发一种新的,可通用的方法来加速使用无服务器云计算的计算密集型工作流程.
    • 创建一个按需计算环境,使用无服务器功能进行生物数据分析.

    主要方法:

    • 利用无服务器云功能创建自动配置的计算单元.
    • 通过集成无服务器功能的 scRNA-seq 工作流的优化.
    • 在公共外周血液单核细胞 (PBMC) 数据集和大型NIH MorPhiC数据集 (450 GB) 上测试方法.

    主要成果:

    • 与传统工作流程相比,在处理大型scRNA-seq数据集方面展示了重大的加快速度.
    • 在86个细胞系中成功处理了450GB的人类scRNA-seq数据集.
    • 验证了无服务器计算的成本效益和性能,用于scRNA-seq分析.

    结论:

    • 无服务器云计算为加速scRNA-seq数据处理提供了具有成本效益和高效的解决方案.
    • 拟议的方法可用于计算密集型生物信息学工作流程.
    • 这种方法可以快速部署计算能力,用于大规模的生物数据分析.