Studying individual cells is one of the most powerful ways scientists are learning about how life works on the smallest scale. Single-cell technologies, especially single-cell RNA sequencing, let researchers explore how different cells express genes, respond to their environment, and change over time. But as exciting as this field is, analyzing the massive amount of data it produces can be overwhelming, especially when teams are working together across different labs or even countries.

A new tool called CytoAnalyst is here to help. Developed by researchers at Auburn University, CytoAnalyst is a web-based platform designed to make analyzing single-cell RNA sequencing data more flexible, collaborative, and intuitive.

Overview of the CytoAnalyst’s capabilities and core analytical components

The platform consists of three main modules: 1) study management and sharing system, 2) grid-layout visualization system, and 3) core analysis system of seven analytical modules. The management system allows users to create and manage projects and data. The system supports 10X Genomics Cell Ranger in .tar.gz or .h5 format, and AnnData objects in .h5ad format, as well as additional metadata in .csv/.tsv format. Following data upload, users can perform quality control and preprocessing before performing downstream analyses. All analysis parameters and results are automatically logged and can be shared with collaborators through a secure sharing system. The grid-layout visualization system supports flexible and simultaneous display of multiple plot types: scatter plots, violin plots, dot plots, heatmaps, histograms, volcano plots, and trajectory plots. The platform’s blending modes allow users to combine plots in various ways for comprehensive data exploration. The core system consists of seven analysis modules: embedding analysis, clustering, differential expression (DE) analysis, gene set management, cell enrichment, cell annotation, and pseudo-time trajectory inference. These analysis modules are interconnected, enabling users to seamlessly transition between different steps while maintaining complete control over parameter settings. Advanced users can skip any steps and begin with any process based on their research needs and dataset characteristics.

So, what makes CytoAnalyst stand out? For one, it lets users create custom analysis pipelines using a wide range of tools. You can compare different methods, tweak parameters, and see how your results change, all in real time. It also allows multiple team members to work together, syncing their work across devices. The visualization tools are just as impressive, with side-by-side comparisons, blending modes, and the ability to save settings for easy revisits.

CytoAnalyst simplifies complex bioinformatics tasks while maintaining a high standard of scientific rigor. Whether you’re part of a large research team or just starting out in single-cell analysis, this platform could be a game changer in how we understand cellular diversity.

Availability – The platform supports all major web browsers and is freely available at https://cytoanalyst.tinnguyen-lab.com.