ASURATBI is a repository including ASURAT pipelines for analyzing single-cell and spatial transcriptome datasets.
Below are documents for analyzing several single-cell and spatial transcriptome datasets:
- PBMC 4k from healthy donors (10x Genomics)
- PBMC 6k from healthy donors (10x Genomics)
- PBMCs from control and sepsis donors (Reyes et al., 2020)
- Small cell lung cancer (Stewart et al., 2020)
- Pancreatid ductal adenocarcinoma (Moncada et al., 2020)
Below are supporting information:
- Computations for PBMCs datasets (parameter search, benchmark tests, etc.)
- Miscellaneous (separation index, correlation analysis, etc.)
K. Iida, J. Kondo, J. N. Wibisana, M. Inoue, M. Okada, ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes, Bioinformatics 38(18), 4330-4336 (2022). Link