paraCell
paraCell enables interactive analysis and visualization of standard and dual host-parasite single-cell RNA-seq data without requiring programming ability.
Key Features:
- Interactive Visualization: Provides tools for interactive analysis and visualization of pre-loaded single-cell data.
- Dual Host-Parasite Analysis: Supports analysis of both standard single-cell RNA-seq data and dual host-parasite single-cell RNA-seq data.
- Pre-loaded Dataset Access: Allows users to visualize and analyse pre-loaded single-cell data without programming ability.
Scientific Applications:
- Parasite Transcriptomics: Enables visualization and re-analysis of published Plasmodium and Trypanosoma single-cell transcriptomic datasets.
- Pathogen-Host Interaction Studies: Supports analysis of pathogen-host interactions using dual host-parasite datasets such as Toxoplasma-mouse and Theileria-cow scRNA-seq data.
- Disease Susceptibility Research: Facilitates investigation of host interferon-gamma response and gene expression profiles associated with disease susceptibility by intracellular parasites.
Methodology:
paraCell is built as an expansion of cellxgene_VIP.
Topics
Details
- Added:
- 2/22/2026
- Last Updated:
- 2/22/2026
Operations
Publications
Documentation
Downloads
- Container filehttps://hub.docker.com/r/edwardagboraw/paracell