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在神经退行性疾病中应用单细胞RNA-seq和ATAC-seq的计算算法

Hwisoo Choi1, Hyeonkyu Kim1, Hoebin Chung1

  • 1Department of Bioinformatics, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul 06978, Republic of Korea.

Briefings in functional genomics
|November 5, 2024
PubMed
概括

本综述强调了如何整合单细胞RNA测序 (scRNA-seq) 和单细胞ATAC测序 (scATAC-seq) 揭示了细胞对疾病的洞察力. 这些结合方法提供了新的治疗目标和诊断方法.

关键词:
数据整合数据集成.多种方式的多种方式.多种主题的多种主题.神经退行性疾病的神经退行性疾病一个单细胞的ATAC测序.单细胞RNA测序的一个单细胞RNA测序.

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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. 
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