RAPIDS Single cell accelerates single-cell data analysis

RAPIDS Single Cell is a new tool that accelerates single-cell data analysis using GPUs. Unlike traditional CPU-based workflows, it can process millions of cells in minutes, dramatically reducing time and costs. With features similar to Scanpy but optimized for running on GPUs, it facilitates tasks such as clustering, PCA, and UMAP on massive datasets, making it an ideal choice for labs working with large volumes of data.

Analysis steps, including normalization, dimensionality reduction, clustering, and batch integration, are essential to single-cell data analysis, interpretation, and model development. RAPIDS-single cell is an open-source, MIT-licensed tool developed by scverse that addresses both data size and analysis speed challenges. The speed improvement also makes it possible for bioinformaticians to work alongside physicians or biologists in real time, fostering closer collaboration and more effective interpretation of results.

Pipeline

Read more:

https://rapids-singlecell.readthedocs.io/en/latest/

https://rapids-singlecell.readthedocs.io/en/stable/api/generated/rapids_singlecell.get.X_to_GPU.html