sceasy
sceasy converts single-cell RNA sequencing (scRNAseq) datasets between different file formats to enable visualization and sharing of high-dimensional single-cell data.
Key Features:
- Format conversion: Converts scRNAseq datasets between different file formats required by downstream tools.
- Large-dataset support: Handles datasets that can encompass millions of cells.
- Visualization-tool compatibility: Produces formats compatible with interactive analysis and visualization tools.
- Memory reduction: Conversion workflows that can reduce memory requirements for large datasets.
- Preparation for web-based platforms: Converts data into formats used by web-based single-cell visualization and sharing platforms.
Scientific Applications:
- Data visualization: Enables interactive visualization and interpretation of complex single-cell datasets.
- Data sharing in publications: Supports preparation of scRNAseq data for inclusion in scientific reports and publications.
- Web-based dissemination: Facilitates conversion of datasets for web-based sharing and visualization platforms.
Methodology:
Performs computational file-format conversion of scRNAseq datasets to produce outputs compatible with targeted visualization and analysis platforms.
Details
- License:
- GPL-3.0
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 11/5/2024
- Last Updated:
- 11/6/2024
Operations
Publications
Cakir B, Prete M, Huang N, van Dongen S, Pir P, Kiselev VY. Comparison of visualization tools for single-cell RNAseq data. NAR Genomics and Bioinformatics. 2020;2(3). doi:10.1093/nargab/lqaa052. PMID:32766548. PMCID:PMC7391988.
Funding: - Erasmus+: 2018-1-TR01-KA103-049957, 2018-1-TR01-KA103-049958
- TÜBİTAK: 116S388
Links
Repository
https://github.com/cellgeni/sceasy