Fig. 1
From: Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data
Single Cell Explorer workflow architecture process and component view. a Overview of the data process workflow steps for Single Cell Explorer. Step #1: Run pipeline to process FASTQ files using Python wrapper through Jupyter Notebook. Step #2: Quality control of data, generation of 2d representation, and database upload. Step #3: Interactive data analyses and annotation of cell types. Step #4: Recording of annotated results in MongoDB for sharing with all users. Step #5: All results from MongoDB can be accessed directly or via API. b A screenshot for Single Cell Explorer data navigator page and a t-SNE map for one dataset