"Researchers need to be able to readily redefine the parameters to define marker genes to allow discovery, too strict and new insights can be missed, too lenient and the definition becomes meaningless."
To address this challenge we developed the Single Cell App. This tool focuses on interactive visualization of user-processed or public scRNA-seq data. All data storage and processing are conducted using a Microsoft Azure cloud-based platform, removing the necessity for users to purchase costly compute hardware.
The app provides a web-based user-friendly graphical interface, making it appropriate for plant scientists who are not bioinformatics experts. Additionally, by providing these tools within an app, they can be rapidly and easily deployed and updated within a user’s institutional environment, greatly reducing challenges around installation and software maintenance. Overall, this cloud-based approach can scale readily dependent upon the needs of individuals or institutions.