Summary: This study introduces easySCF, a tool designed to enhance the interoperability of single-cell data between the two major bioinformatics platforms, R and Python. By supporting seamless data exchange, easySCF improves the efficiency and accuracy of single-cell data analysis.
Availability And Implementation: easySCF utilizes a unified data format (.h5 format) to facilitate data transfer between R and Python platforms. The tool has been evaluated for data processing speed, memory efficiency, and disk usage, as well as its capability to handle large-scale single-cell datasets. easySCF is available as an open-source package, with implementation details and documentation accessible at https://github.com/xleizi/easySCF.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11634540 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btae710 | DOI Listing |
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