easySCF: a tool for enhancing interoperability between R and Python for efficient single-cell data analysis.
Where this comes from
- Record sourced from PubMed, PMID 39585309.
- Also identified by DOI 10.1093/bioinformatics/btae710 and PMC identifier 11634540.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. 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.
Medical subject headings
- Software
- Single-Cell Analysis
- Computational Biology