About This Course
This Bioinformatics course is built on the industry-aligned curriculum from NYERAS Edutech & Innovations. You will learn the definition and scope of bioinformatics, biological databases (NCBI, UniProt, PDB), data formats (FASTA, GenBank, PDB), and molecular biology fundamentals including the central dogma and genomics.
You will perform sequence alignment with BLAST, ClustalW, and MUSCLE; use tools like Biopython, R, and Galaxy; analyze genomic and NGS data; explore protein structure and function with PyMOL and SWISS-MODEL; and apply computational biology to drug discovery. The course also covers data visualization and career preparation.
Course Benefits
- 35+ hrs of Training
- Industry-based assessments
- Outcome-based learning
- Hands-on projects
- Lifetime LMS Access
- Industry certification
Course Curriculum
1. Introduction to Bioinformatics
- • Definition and scope of bioinformatics
- • Role of bioinformatics in biology and medicine
- • Historical overview and key milestones
- • Career opportunities in bioinformatics
2. Biological Databases and Data Retrieval
- • Overview of biological databases: NCBI, UniProt, PDB
- • Accessing and navigating public databases
- • Basic search techniques for biological data
- • Data formats: FASTA, GenBank, PDB
3. Molecular Biology Fundamentals
- • Basics of DNA, RNA, and protein structure
- • Central dogma of molecular biology
- • Gene structure and function
- • Introduction to genomics and proteomics
4. Sequence Alignment and Analysis
- • Principles of sequence alignment
- • Pairwise and multiple sequence alignment
- • Tools: BLAST, ClustalW, MUSCLE
- • Interpreting alignment results
5. Introduction to Bioinformatics Tools
- • Overview of open-source tools: Biopython, R, Galaxy
- • Basic command-line and GUI-based tools
- • Setting up a bioinformatics workspace
- • Running simple analyses online
6. Genomic Data Analysis
- • Basics of genome sequencing and assembly
- • Introduction to Next-Generation Sequencing (NGS)
- • Analyzing genomic data: variant calling, annotation
- • Visualizing genomic data online
7. Protein Structure and Function Analysis
- • Basics of protein structure prediction
- • Tools for protein analysis: PyMOL, SWISS-MODEL
- • Understanding protein domains and motifs
- • Virtual labs for protein visualization
8. Introduction to Computational Biology
- • Basics of algorithms in bioinformatics
- • Sequence comparison and phylogenetic analysis
- • Introduction to machine learning in bioinformatics
- • Simple scripting for data analysis
9. Bioinformatics in Drug Discovery
- • Role of bioinformatics in drug design
- • Target identification and validation
- • Molecular docking and virtual screening
- • Case studies in drug discovery
10. Data Visualization and Interpretation
- • Principles of biological data visualization
- • Tools for visualization: R, Python, Tableau
- • Creating plots: heatmaps, phylogenetic trees
- • Interpreting bioinformatics results
11. Career Preparation and Next Steps
- • Overview of bioinformatics certifications and degrees
- • Job roles: bioinformatician, data analyst, research scientist
- • Building a portfolio with bioinformatics projects
- • EdTech resources for continued learning and networking
Requirements
- Basic biology or life sciences background (recommended)
- Interest in data analysis, genomics, or drug discovery
- Computer with internet connection
- Willingness to learn command-line and scripting (Python/R)
Material Includes
- 35+ Hours of Video Lectures
- Lifetime LMS Access
- Section Quizzes & Assessments
- Industry-Based Hands-on Projects
- Certificate of Completion
Why Choose This Course
Industry-Aligned Curriculum
Structured on the Bioinformatics curriculum from NYERAS Edutech, from databases to drug discovery
Hands-On Projects
Work with real databases, alignment tools, and build a bioinformatics project portfolio
Industry Certification
Earn a recognized certificate for roles as bioinformatician, data analyst, or research scientist
Mentor Support
Get guidance from experts in bioinformatics and computational biology
Self-Paced Learning
Learn at your own pace with lifetime access to course materials and updates
Career Support
Access placement assistance and connect with professionals in pharma and life sciences
Ready to Master Bioinformatics?
Join students learning biological databases, sequence alignment, genomics, and drug discovery. Start your journey in bioinformatics today.