jedTour

jedTour is a software tool designed for the interactive exploration and analysis of single-cell RNA sequencing (scRNA-seq) data. It provides a user-friendly interface for visualizing and manipulating large scRNA-seq datasets, enabling researchers to identify cell populations, understand gene expression patterns, and investigate cellular heterogeneity. The software focuses on making complex genomic data accessible to biologists without extensive computational backgrounds.

Key features of jedTour include dimensionality reduction techniques such as UMAP and t-SNE for visualizing cell clusters in a reduced-dimensional space. Users can also perform differential gene expression analysis to compare gene activity between different cell groups. The tool supports the integration of multiple scRNA-seq datasets, allowing for comparative studies and the identification of conserved or variable cellular states across different experiments or conditions. jedTour facilitates the annotation of cell types by enabling users to mark clusters with known cell markers. It also offers functionality for trajectory inference, helping to reconstruct developmental or differentiation pathways within the data. The aim is to streamline the workflow from raw sequencing data to biological interpretation, fostering new discoveries in cell biology and disease research.