On-demand

Analyze your scRNA-seq data with confidence & ease with automated cell annotation

Single cell analysis of highly heterogeneous samples yields complex cellular data that contain valuable biological insights. Cell annotation is an essential and often time-consuming step towards accessing these insights, especially for new users, as it requires researchers to parse through publications and databases to identify widely used marker genes. That's why we teamed up with the Broad Institute of MIT and Harvard to develop the Automated Cell Annotation feature—available in Cell Ranger 9.0 and through the 10x Genomics Cloud Analysis platform—which automatically identifies and annotates cell types based on standardized single cell datasets, reducing the burden of manual annotation.

This feature can help new and expert users alike feel more confident in their results with annotations based on >1K datasets and >96M unique cells. Join our upcoming webinar for a demonstration of key features of the Automated Cell Annotation, including:

• Instant visualization: See high-level and fine-grained cell types in Loupe Browser without manual steps
• More accurate insights: Use annotations from the largest corpus of standardized single-cell data, CELLxGENE by the Chan Zuckerberg Initiative
• Robust infrastructure: Access computational resources on 10x Cloud Analysis 
• Seamless cloud and local availability: Available on both local Cell Ranger installations and the Cloud Analysis platform

Register now to see a demonstration of this new tool.

Speakers

Nur-Taz Rahman
Senior Scientist, Applied Bioinformatics
10x Genomics

Stephen Williams
Computational Biologist
10x Genomics

Annotation is performed using a model that was co-developed by 10x Genomics and the Cellarium AI Lab at the Data Sciences Platform of the Broad Institute.