tidyseurat

tidyseurat integrates Seurat objects with the Tidyverse to enable tidyverse-style manipulation and visualization of single-cell RNA sequencing (scRNA-seq) data.

Key Features:

• Seamless Integration: Adds an invisible layer to Seurat objects that exposes cell-level data as tibble structures.
• Efficient Data Manipulation: Exposes cell metadata and assay-derived values as a tibble abstraction and interoperates with dplyr, tidyr, ggplot2, and plotly for data manipulation and plotting.
• Enhanced Visualization: Enables visualization of scRNA-seq results using tidyverse graphical tools.
• Iterative Analysis Support: Interfaces with the nest-map framework to perform iterative, subset-specific operations on large scRNA-seq datasets.

Scientific Applications:

• Exploratory Data Analysis: Facilitates exploratory summarization and plotting of scRNA-seq datasets using tidyverse verbs and ggplot2-based graphics.
• Data Integration: Supports integration of datasets from different experiments or conditions within Seurat-based workflows.
• Reproducible Workflows: Enables scripted, reproducible single-cell analysis pipelines by combining Seurat operations with tidyverse tools.

Methodology:

tidyseurat implements a lightweight adapter that injects a tibble-based abstraction into Seurat objects and interfaces with tidyverse packages and the nest-map framework for subset-wise iterative operations.