Bioinformatics Ka Chilla
About Course
🌱💻 Bioinformatics Ka Chilla
Master 40 Biological Data Science Topics
Introduction to the course
Welcome to Bioinformatics Ka Chilla: Master 40 Biological Data Science Topics in 365 Days 🌱💻
This is an intensive course designed for students, professionals, and aspiring bioinformaticians who want to learn how to harness the power of biological data for scientific research and real-world applications.
In this one-year course, we’ll dive into the world of bioinformatics, data science, and computational biology — making complex biological data easy to understand and apply for researchers, lecturers, professors, healthcare professionals, and biology students in Pakistan.
What Will You Learn?
Basic to Advanced Bioinformatics
Introduction to biological data, databases, and tools used in bioinformatics.
Data Science Concepts for Life Scientists
Learn about machine learning, statistics, and data mining as applied to biology.
Practical Skills
Hands-on experience with real-world datasets (genomics, pangenomics, metagenomics, ribosome profiling, proteomics, metabolomics etc.).
Data Visualization for Biology
Learn to present biological data through charts, graphs, and dashboards.
Ethical, Legal, and Social Implications of Biomedical Data
Understand the ethical considerations and challenges in data usage.
Develop Your Own Bioinformatics Tools
Develop your own bioinformatics tools and host them for public use.
40 Topics Covered
- Introduction to Bioinformatics for Beginners
- Command Line Interface and Programming, Linux/Unix, Bash, Python, R
- Basic Bioinformatics Tools and Databases
- Data Science Concepts for Life Scientists
- Using Publicly Available Data for Bioinformatics
- Data Visualization for Biological Research
- Ethical, Legal, and Social Implications of Biomedical Data
- Introduction to the European Nucleotide Archive (ENA)
- Methods and Resources for Omics Studies
- Exploring the European Genome-phenome Archive (EGA)
- A Guide to Bioinformatics Resources
- A Journey Through Bioinformatics Resources from EMBL-EBI
- Biocuration: Understanding the Process and Importance
- Biological Data Analysis and Interpretation Methods
- Exploring Microbial Ecosystems with Bioinformatics Tools
- Biostatistics for Bioinformatics
- Genome Bioinformatics: Short-Read to Long-Read Sequencing
- Genome Properties and Data Analysis Techniques
- Ensembl: Browsing Genomes and Analyzing Data
- Introduction to Functional Genomics
- Designing Experiments in Functional Genomics
- Common Technologies and Data Analysis in Functional Genomics
- Submitting Data to Functional Genomics Databases
- Understanding Gene Ontology and the QuickGO Project
- Introduction to Phylogenetics: A Bioinformatics Approach
- Gene and Environmental Exposure Interactions in Health
- AlphaFold: Protein Structure Prediction
- Bioinformatics Resources for Protein Biology
- RNA-Seq Analysis: Techniques and Interpretation
- DIY Transcriptomics: Hands-on Bioinformatics
- Bioinformatics Approaches to Virus Research
- Metagenomics Bioinformatics: Data and Resources
- Introduction to Metabolomics in Bioinformatics
- Metabolomics Analysis Tools and Techniques
- Integrating and Visualizing Multi-Omics Data
- Systems Biology: Analyzing Large Datasets
- Data-Driven Plant Sciences: Bioinformatics for Agriculture
- Genomic Analysis in Livestock Genomics
- Proteomics Bioinformatics: Analyzing Protein Data
- Single-Cell RNA-Seq Analysis: Using Python, Galaxy, and R
Note: This list will be updated based on the students’ interest and advancement in the field.
Course Teaching Methodology
- Mode: Online (with Learning Management System (LMS))
- Language: Urdu/Hindi and English
- Duration: 1 Year (2025-2026)
- Assessments: Monthly quizzes, final project, and live workshops
- Certification: Yes, after completing assignments and final project
Register here:
Course Content
00: Resources
01: Course Introduction and Registration
02: Know your Instructor
03: What is Bioinformatics?
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