scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing

scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing

Abstract Background Single-cell RNA sequencing is a state-of-the-art technology to understand gene expression in complex tissues. With the growing amount of data being generated, the standardization and automation of data analysis are critical to generating hypotheses and discovering biological insi...

Full description

Bibliographic Details
Main Authors: Kejie Li, Yu H. Sun, Zhengyu Ouyang, Soumya Negi, Zhen Gao, Jing Zhu, Wanli Wang, Yirui Chen, Sarbottam Piya, Wenxing Hu, Maria I. Zavodszky, Hima Yalamanchili, Shaolong Cao, Andrew Gehrke, Mark Sheehan, Dann Huh, Fergal Casey, Xinmin Zhang, Baohong Zhang
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Genomics
Subjects:
Single-cell RNA-seq
Single-nucleus RNA-seq
Transcriptome
Data integration
Cell-type label transfer
Batch correction
Online Access:https://doi.org/10.1186/s12864-023-09332-2

Internet

https://doi.org/10.1186/s12864-023-09332-2

Similar Items