Bioinformatics
Guided by experienced scientists and IT professionals, this course blends biology, computer science, and data analysis to explore how technology can unlock insights from biological data. Students learn to handle genetic sequences, protein structures, and large-scale biological datasets using computational tools and algorithms. This training prepares them for careers in biotechnology, genomics, pharmaceuticals, and research.
Outline for the Course of Bioinformatics:
- Introduction to Bioinformatics – Scope, applications, and history.
- Biological Databases – Genomic, proteomic, and metabolic databases.
- Sequence Analysis – DNA, RNA, and protein sequence alignment.
- Genomics & Proteomics – Genome mapping, annotation, and protein profiling.
- Molecular Modeling – Protein structure prediction and visualization.
- Algorithms in Bioinformatics – BLAST, FASTA, and sequence alignment algorithms.
- Data Mining & Machine Learning – AI techniques in biological data analysis.
- Phylogenetics – Evolutionary relationships and tree construction.
- Computational Drug Discovery – Virtual screening and molecular docking.
- Ethics & Legal Issues – Data privacy and ethical considerations in genomics.
Skills you'll gain
Biological Data Analysis Sequence Alignment & Annotation Machine Learning Applications Drug Discovery Techniques Critical Thinking & Problem-Solving
$ 150
Duration
1 Hour
Lectures
Enrolled
200+ students
Language
English
Level
Beginner - Advance
Certificate
Yes
