scBubbletree:用于可视化单细胞RNA-seq数据的计算方法

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Simo Kitanovski1, Yingying Cao2, Dimitris Ttoouli2

  • 1Bioinformatics and Computational Biophysics, Faculty of Biology and Centre for Medical Biotechnology (ZMB), University of Duisburg-Essen, 45141, Essen, Germany. simo.kitanovski@uni-due.de.

BMC bioinformatics
|September 13, 2024
PubMed
概括

scBubbletree为单细胞RNA测序 (scRNA-seq) 数据提供了一种新的可视化方法. 这种可扩展的方法解决了多重绘图和定量评估问题,增强了复杂数据集的生物学解释.

关键词:
文字转录学 (Transcriptomics) 是一个学科.视觉化的可视化这就是 scRNA-seqq.

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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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