Our Bioinformatics Laboratory is equipped with high-performance computational infrastructure designed to support large-scale biological data analysis, genomics research, and AI-driven bioinformatics applications. The facility integrates advanced computing, secure data storage, high-speed networking, and collaborative software environments to enable efficient and reproducible research workflows.
The laboratory operates a high-performance computational workstation optimized for large-scale genomics analysis, structural bioinformatics, and machine learning applications in life sciences.
Processors: Dual Intel Xeon E5-2673 v4 processors (40 cores / 80 threads) with 100 MB smart cache
Memory: 256 GB DDR4 RAM enabling large dataset processing
GPU Acceleration: Dual NVIDIA GeForce RTX 3060 GPUs (12 GB GDDR6 each, 15 Gbps memory speed, 192-bit interface) for GPU-accelerated bioinformatics and deep learning workflows
Primary Storage: 1 TB NVMe SSD for high-speed data processing
Secondary Storage: 4 TB HDD for project data storage
Power Supply: 850W 80+ Gold certified PSU ensuring stable high-performance operation
This workstation supports computationally intensive research including whole genome analysis, RNA-Seq pipelines, protein structure prediction, molecular modeling, and machine learning applications in biology.
The computational environment is built on Ubuntu Server 24.04 LTS (Noble Numbat) and provides a reproducible and scalable platform for bioinformatics workflows.
SLURM workload manager for job scheduling and GPU resource management
Anaconda / Conda / Bioconda for managing bioinformatics software environments
RStudio Server for statistical genomics and data science analysis
Code Server (VS Code Web) for remote development and collaborative coding
The software infrastructure supports pipelines for genomics, transcriptomics, metagenomics, structural bioinformatics, and machine learning in biological research.
The laboratory maintains centralized data storage using TrueNAS-based Network Attached Storage (NAS) to facilitate secure data management and collaboration among research teams.
Centralized storage for research datasets
Shared project directories for collaborative work
Secure user-based access control
Reliable storage for large biological datasets
Support for backup and data archiving
This infrastructure ensures efficient data sharing and management across research projects.
The laboratory network is designed to support high-speed data transfer and secure remote access for researchers.
10 Gbps internal LAN enabling fast data transfer between servers and workstations
500 Mbps dedicated fiber internet connection for high bandwidth research activities
Secure remote access via Cloudflare Tunnel allowing researchers to connect from external locations
Enterprise-grade managed network switches for reliable network performance
VoIP and EPABX communication system supporting both internal and external communications
This networking infrastructure enables seamless collaboration and remote research access.
The laboratory provides dedicated client workstations for students and researchers to interact with the central computational infrastructure.
These systems are configured for bioinformatics research and allow users to develop analysis pipelines, visualize results, and access high-performance computing resources.
Desktop workstations for coding, data visualization, and analysis
Direct access to the central bioinformatics computing server
Preconfigured environments for bioinformatics software and tools
Secure user authentication and centralized access management
Remote access capability for off-campus research work
These workstations allow researchers to perform analysis locally while utilizing the computational power of the central servers.
The laboratory environment is designed to ensure optimal operating conditions for computational equipment and secure research operations.
Precision air conditioning system maintaining temperatures between 18–22 °C for stable equipment performance
24/7 CCTV surveillance system with remote monitoring capability
Central management server dashboard for monitoring infrastructure and automating operations
Power-stabilized environment for high-performance computing systems
The facility supports computational research across multiple areas of bioinformatics and computational biology, including:
Whole genome sequencing analysis
RNA-Seq and transcriptomic analysis
Metagenomics and microbiome studies
Protein structure prediction and molecular modeling
AI and machine learning applications in life sciences
Large-scale biological data mining and systems biology