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Aligning Biological Manifolds for Integrated Analysis of Single-Cell Data

Focus Manifolds

Project Goal

To develop optimized methods, benchmarks, and best practices to integrate diverse single-cell datasets and construct a unified atlas.

Results & Resources

During this project, the Satija lab designed and implemented an algorithm for the integration of diverse sources of single-cell data. The ability to perform high-resolution integration will enable multiple groups to derive a consistent and reproducible set of cell states across datasets, regardless of the profiling technology. Their tool, Seurat, is freely available, as well as accompanying tutorials and documentation.


Lead Investigator

Rahul Satija
Rahul Satija