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.

Documentation

Links