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...

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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

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