Bioinformatics
Computer Lab
Advanced computational infrastructure for genomics, proteomics, and biological data science. Empowering the next generation of bioinformatics researchers with high-performance tools and analytical excellence.
Computational Biology Excellence
The Bioinformatics Computer Lab at BJB Autonomous College provides computational infrastructure for biological research and education. The facility combines advanced computing systems with bioinformatics software and biological databases.
Students and researchers can work across genomic analysis, protein structure, molecular dynamics, systems biology and computational approaches to drug discovery.
The laboratory provides an environment for practical learning, computational research, data analysis and collaborative scientific work.
Lab Facilities
Computational infrastructure for biological research and education
High-Performance Workstations
Advanced computing systems for computational biology workflows.
- Intel Core i7/i9 & AMD Ryzen
- 16–64 GB RAM
- NVMe SSD (512 GB – 2 TB)
- NVIDIA GPU support
- Dual 4K displays
- Linux & Windows dual-boot
HPC Cluster
Parallel computing infrastructure for large-scale analysis.
- Multi-node architecture
- SLURM job scheduling
- MPI & OpenMP support
- GPU computing nodes
- Scalable resources
- Queue management
Network Infrastructure
High-speed connectivity for research and computational workflows.
- 1 Gbps internet
- Fiber optic backbone
- Secure VPN access
- Cloud integration
- Network storage (NAS)
- Redundant connections
Data Storage
Secure storage and data management infrastructure.
- 10 TB+ capacity
- RAID protection
- Automated backups
- Version control (Git)
- Data archival
- Access control
Database Access
Access to major biological databases and research resources.
- NCBI GenBank & RefSeq
- Protein Data Bank (PDB)
- UniProt & SwissProt
- KEGG & Reactome
- Ensembl & UCSC
- Journal subscriptions
Collaborative Spaces
Facilities supporting group research and scientific communication.
- Group workstations
- Presentation systems
- Interactive whiteboards
- Video conferencing
- Documentation tools
- Seminar facilities
Research Focus
Computational approaches across modern biological research
Genomics & NGS
Sequencing analysis, genome assembly, variant calling and comparative genomics.
Structural Biology
Protein structure prediction, molecular docking and structure-based analysis.
Molecular Dynamics
Biomolecular simulations, protein behaviour and interaction studies.
Systems Biology
Multi-omics integration, pathway analysis and biological network modelling.
AI & Machine Learning
Machine learning approaches for biological sequences, structures and prediction.
Drug Discovery
Virtual screening, QSAR modelling and computational target analysis.
Metagenomics
Microbiome analysis, taxonomic profiling and microbial community studies.
Phylogenetics
Evolutionary analysis, phylogenetic reconstruction and molecular evolution.
Bioinformatics Tools
Industry-standard software and online resources for computational biology