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