Course details
OriGene Biosolutions is a premier life science research and training organization dedicated to advancing bioinformatics and data analysis. Tailored solutions for your bioinformatics needs.
Professional Certification in Computational Biology
Level
Advanced
Advanced
Duration
3 Months | 12 hours per week
3 Months | 12 hours per week
Flexible Schedule
Learn from anywhere.
Learn from anywhere.
Modules
7
7
Capsote Project
Real-world project with publication.
Real-world project with publication.
Course Modules
Enroll Now- Scope and applications
- Key databases and tools
- Biological data types: genomic, transcriptomic, proteomic, metabolomic
- BioPython & BioConductor essentials
- Data wrangling and visualization
- Script automation and pipeline development
- DNA, RNA, protein sequence formats
- Alignment algorithms (BLAST, Smith-Waterman, HMMs)
- Gene prediction and annotation
- Protein structure basics (PDB, mmCIF)
- Secondary and tertiary structure prediction
- Molecular docking basics (AutoDock, PyMOL)
- Visualization and analysis of 3D structures
- Biological networks (GRNs, PPI, metabolic networks)
- Tools: Cytoscape, NetworkX
- Dynamic modeling (ODEs, stochastic modeling)
- RNA-seq pipeline overview (from raw reads to DEGs)
- Proteomics and metabolomics data analysis
- Data integration across omics
- Supervised & unsupervised learning in biology
- Feature engineering for biological datasets
- Use cases: drug response prediction, gene expression classification
Course Overview
This course provides a comprehensive blend of biological data analysis, modeling, and algorithm development. It covers systems biology, structural bioinformatics, and high-throughput data analysis using Python and R, preparing students for research, pharmaceutical, and biotech roles.
This course provides a comprehensive blend of biological data analysis, modeling, and algorithm development. It covers systems biology, structural bioinformatics, and high-throughput data analysis using Python and R, preparing students for research, pharmaceutical, and biotech roles.
What You'll Learn
Concepts of systems and structural biology
Key algorithms in sequence and structure analysis
Hands-on coding for bioinformatics applications
Data interpretation from omics studies
Modeling biological networks and dynamics
Who Can Register
Final year UG/PG students, PhD scholars, biotech professionals, and academic researchers with a biology or computer science background.
Final year UG/PG students, PhD scholars, biotech professionals, and academic researchers with a biology or computer science background.
Prerequisites
Basic biology and genetics
Basic programming (Python preferred)
Familiarity with Linux (optional but helpful)