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

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 insights. RE...

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Detalles Bibliográficos
Autores principales: Li, Kejie, Sun, Yu H., Ouyang, Zhengyu, Negi, Soumya, Gao, Zhen, Zhu, Jing, Wang, Wanli, Chen, Yirui, Piya, Sarbottam, Hu, Wenxing, Zavodszky, Maria I., Yalamanchili, Hima, Cao, Shaolong, Gehrke, Andrew, Sheehan, Mark, Huh, Dann, Casey, Fergal, Zhang, Xinmin, Zhang, Baohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155351/
https://www.ncbi.nlm.nih.gov/pubmed/37131143
http://dx.doi.org/10.1186/s12864-023-09332-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155351/
https://www.ncbi.nlm.nih.gov/pubmed/37131143
http://dx.doi.org/10.1186/s12864-023-09332-2

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