Citation#
If you use Scarf in your research, please cite:
Dhapola, P., Rodhe, J., Olofzon, R. et al. Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data. Nat Commun 13, 4616 (2022). https://doi.org/10.1038/s41467-022-32097-3
@article{Dhapola2022Scarf,
title = {Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data},
author = {Dhapola, Parashar and Rodhe, Johan and Olofzon, Rasmus and Bonald, Thomas and Erlandsson, Eva and Soneji, Shamit and Karlsson, G{\"o}ran},
journal = {Nature Communications},
volume = {13},
number = {1},
pages = {4616},
year = {2022},
doi = {10.1038/s41467-022-32097-3}
}
Maintenance#
Scarf is open source. Development and maintenance are led by Nygen. ScarfWeb is a separate hosted interface that uses Scarf; it is not required to run the library locally.