XLence - DiSFeB Mini Cluster
Welcome to the XLence HPC cluster documentation.
This cluster is a high-performance computing resource operated by the Department of Pharmacological and Biomolecular Sciences (DiSFeB) at the University of Milan.
Overview
XLence provides computational resources for various research areas in life sciences:
Structural Bioinformatics
Advanced molecular modeling and simulation tools for protein structure prediction, molecular dynamics, and drug design: - Rosetta - Protein structure prediction and design - RoseTTAFold - Deep learning structure prediction - GROMACS - Molecular dynamics simulations - AMBER - Biomolecular simulations with GPU acceleration - NAMD - Scalable molecular dynamics - PLUMED - Free energy calculations - VMD - Molecular visualization - Schrödinger Suite - Integrated modeling platform - MOE - Molecular Operating Environment
NGS Data Analysis
Next-Generation Sequencing pipeline tools and bioinformatics software: - CellRanger - Single-cell RNA-seq analysis - SpaceRanger - Spatial transcriptomics - BLAST - Sequence similarity search - Miniforge3 - Python environment with bioinformatics packages
Proteomics
Mass spectrometry data analysis: - MaxQuant - Quantitative proteomics - InterProScan - Protein sequence analysis
For a complete list of available software, see Software and Modules.
NGS Data Storage
The cluster provides temporary storage for NGS sequencing runs.
⚠️ Important: This is NOT a backup service. Data should be downloaded and backed up to your own storage systems.
For instructions on retrieving your NGS data, see How to Retrieve NGS Data.
Access and Connection
Getting Access
New users need to request cluster access. See How to Get Access for the procedure.
Connecting to the Cluster
Once you have credentials, learn how to connect via SSH: How to Connect.
Support
For questions, issues, or support requests, please contact:
- Uliano Guerrini: uliano.guerrini@unimi.it
- Omar Ben Mariem: omar.benmariem@unimi.it
Additional Resources
- Cluster Description - Hardware specifications and network architecture
Note
- The material in this website has been partly generared with LLM and not fully verified, yet!