Spaniel
Spaniel provides an R package for analysis and sharing of spatial transcriptomics data generated by spatially resolved sequencing of complete transcriptomes from barcoded regions within intact tissue samples.
Key Features:
- Framework for Analysis: Provides a structured framework to process and analyze spatial transcriptomics datasets from barcoded tissue regions.
- Data Sharing Capabilities: Supports sharing of spatial transcriptomics datasets to facilitate collaboration and reproducibility.
Scientific Applications:
- Cellular-resolution analysis: Enables examination of cellular function and complete transcriptomes at high spatial resolution within intact tissues.
- Gene expression pattern analysis: Supports analysis of spatial gene expression patterns across tissue regions.
- Cell–cell interactions: Assists investigation of cell–cell interactions using spatially resolved transcriptomic profiles.
- Spatial organization studies: Facilitates study of tissue spatial organization by relating transcriptomic variation to anatomical location.
- Disease mechanism research: Contributes spatial context for gene expression changes relevant to disease mechanisms.
Methodology:
Implemented in R, Spaniel processes and interprets large-scale spatially resolved transcriptomic datasets derived from sequencing of barcoded regions within intact tissue samples.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Queen R, Cheung K, Lisgo S, Coxhead J, Cockell S. Spaniel: analysis and interactive sharing of Spatial Transcriptomics data. Unknown Journal. 2019. doi:10.1101/619197.
DOI: 10.1101/619197
Documentation
Links
Issue tracker
https://github.com/RachelQueen1/Spaniel/issues