Learn Genome Assembly and Annotation in Prokaryotes and Eukaryotes
About Course
Learn Step by Step Genome Assembly & Annotation in Prokaryotes and Eukaryotes
Turn raw DNA sequencing data into meaningful biological insights. In this practical, hands-on bioinformatics course, you’ll learn how to perform genome assembly and annotation for both prokaryotic and eukaryotic organisms using real datasets and powerful open-source tools.
Whether you’re a student, researcher, or bioinformatics enthusiast, this course will help you master skills used in genomics, biotechnology, medicine, and evolutionary biology. No prior programming experience is required. We start from the basics and guide you through each step.
What You’ll Learn
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Perform quality control and preprocessing of sequencing reads
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Assemble genomes with tools like SPAdes and Flye
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Annotate genes using Prokka and AUGUSTUS
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Add functional data with BLAST and Pfam
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Visualize genomes using Quast
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Build reproducible pipelines with Bash scripting
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Work confidently with both prokaryotic and eukaryotic datasets
Who This Course Is For
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Biology and bioinformatics students
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Researchers and lab technicians
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Educators teaching genomics hands-on
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Self-learners curious about genome analysis
What You Need
Just a computer, internet connection, and basic biology knowledge. We’ll guide you through setting up your bioinformatics environment and provide downloadable scripts for practice.
By the end of this course, you’ll be able to take raw sequencing reads, assemble a genome, annotate it, visualize results, and prepare them for publication or database submission.
Enroll now and start your journey into genome assembly and annotation turning data into discovery.
Course Content
Course Introduction
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Course Introduction
06:14
Linux for Bioinformatics
Short Read Genome Assembly and Analysis Using Linux
Long Read Genome Assembly and Analysis Using Linux
Prokaryotic Genome Annotation
Eukaryotic Genome Annotation
Student Ratings & Reviews
Your Instructor
Abdul Rehman Ikram
Bioinformatician | Data Analyst | Computational BiologistAbdul is a distinguished bioinformatician, data analyst, and computational biologist known for his exceptional contributions to the field of biomedical research. With a passion for integrating technology and biology, Abdul has carved a niche for himself, leveraging cutting-edge computational techniques to unravel complex biological data.
Driven by a curiosity to decode the complexities of life, Abdul believes in the power of interdisciplinary approaches. He is committed to mentoring the next generation of scientists, fostering a culture of innovation and continuous learning.

