cellatlas

Cellatlas is a comprehensive, open-source platform designed to facilitate the exploration and analysis of single-cell RNA sequencing (scRNA-seq) data. It provides a user-friendly interface for researchers to visualize, query, and interpret large-scale single-cell datasets. The platform is built on a robust backend infrastructure that supports efficient data storage, retrieval, and processing, enabling users to handle complex datasets with ease.

Cellatlas allows users to upload their own scRNA-seq data or access publicly available datasets from repositories such as the Gene Expression Omnibus (GEO) and the Single Cell Expression Atlas (SCEA). The platform offers a range of visualization tools, including dimensionality reduction techniques like t-SNE and UMAP, which help users to identify cell clusters and trajectories. Additionally, Cellatlas provides functionalities for differential expression analysis, gene set enrichment, and cell type annotation, empowering researchers to gain deeper insights into cellular heterogeneity and dynamics.

One of the key features of Cellatlas is its integration with the Cell Ontology (CL), which enables users to annotate cell types based on standardized terminology. This ensures consistency and comparability across different studies and facilitates the sharing of knowledge within the scientific community. Cellatlas also supports collaborative workflows, allowing multiple users to work on the same dataset simultaneously and share their findings with colleagues.

The platform is continuously updated with new features and improvements based on user feedback and advancements in single-cell technologies. Cellatlas is freely available to the research community, promoting open science and accelerating the pace of discovery in single-cell biology. By providing a centralized resource for scRNA-seq data analysis, Cellatlas aims to democratize access to cutting-edge technologies and foster innovation in the field.