Cells2M

Cells2M is a computational tool designed for the analysis and interpretation of single-cell RNA sequencing (scRNA-seq) data. It aims to simplify the complex workflows involved in scRNA-seq analysis, making it more accessible to researchers. The platform provides a user-friendly interface for common tasks such as data preprocessing, dimensionality reduction, clustering, and differential gene expression analysis.

The primary goal of Cells2M is to offer an integrated environment where users can upload their scRNA-seq data and perform a series of analytical steps without requiring extensive programming knowledge. This is achieved through a graphical user interface that guides users through the analytical pipeline. The tool supports various common scRNA-seq data formats and integrates with popular bioinformatics libraries.

Key functionalities of Cells2M include quality control metrics to assess the suitability of the data for downstream analysis, visualization tools for exploring cell populations and gene expression patterns, and methods for identifying marker genes that characterize different cell types or states. It also facilitates the integration of multiple datasets, allowing for comparative analyses across different experiments or conditions.

Cells2M is developed with the intention of democratizing scRNA-seq analysis, enabling researchers across various disciplines to leverage the power of single-cell technologies for their biological questions. The platform is continually being updated to incorporate new analytical methods and improve its performance and usability.