Project Management and Collaboration
overview
Each project represents a research or analytical task that requires the involvement of users with appropriate expertise, access to source datasets, and, when necessary, previously developed models and processing workflows.
The user who creates a project automatically becomes its coordinator and can invite additional collaborators. Project members may contribute datasets and other resources, enabling secure sharing and collaborative analysis within a controlled environment.
model development.
Project workspaces provide direct access to analytical tools and computational resources available through the Poznan Supercomputing and Networking infrastructure.
More AI-assisted Data Analysis
Data Processing and Visualization
Explore and process biomedical data using R/Python with integrated visualization tools for fast exploratory analysis.
AI-Enabled Analytical Environments
Browser-based workspaces with preconfigured AI, ML, and data science tools ready for immediate use.
Project Management and Collaboration
Securely organize analytical projects, manage teams, and share datasets within controlled, role-based research environments.
Scalable and Automated Workflows
Run large-scale analyses using batch processing and automated pipelines on high-performance computing infrastructure.
Reproducible Research
Standardize and document analytical workflows to ensure transparency, traceability, and full reproducibility of results.
Machine Learning and AI Analytics
Apply AI, deep learning, and data mining methods for predictive modeling, biomarker discovery, and pattern detection.