SCANNER: a web platform for annotation, visualization and sharing of single cell RNA-seq data

Database (Oxford) 2022-03-31

Summary:

In recent years, efficient scRNA-seq methods have been developed, enabling the transcriptome profiling of single cells massively in parallel. Meanwhile, its high dimensionality and complexity bring challenges to the data analysis and require extensive collaborations between biologists and bioinformaticians and/or biostatisticians. The communication between these two units demands a platform for easy data sharing and exploration. Here we developed Single-Cell Transcriptomics Annotated Viewer...

Link:

https://pubmed.ncbi.nlm.nih.gov/35134150/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20220331202229&v=2.17.6

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📚BioDBS Bibliography » Database (Oxford)

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Authors:

Guoshuai Cai, Xuanxuan Yu, Choonhan Youn, Jun Zhou, Feifei Xiao

Date tagged:

03/31/2022, 20:22

Date published:

02/08/2022, 06:00