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

ABSTRACT: 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 (SCANNER), as a public web resource for the scientific community, for sharing and analyzing scRNA-seq data in a collaborative manner. It is easy-to-use without requiring special software or extensive coding skills. Moreover, it equipped a real-time database for secure data management and enables an effi

SUBMITTER: Cai G 

PROVIDER: S-EPMC9246089 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature