📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Basics of Bioinformatics Workflows, from foundations to a certified capstone project.
Outline
What is a Bioinformatics Workflow? • Overview of Bioinformatics Data Analysis Stages • Importance of Workflows in Genomics and Research • Applications in Healthcare, Biotechnology, and Genomics
Outline
Types of Biological Data (DNA, RNA, Protein Sequences) • Quality Control of Raw Sequencing Data • Trimming, Filtering, and Cleaning Data • Identifying and Handling Data Biases and Errors
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Introduction to Sequence Alignment • Aligning Sequences to Reference Genomes • Basic Alignment Algorithms (e.g., BLAST, Bowtie) • Visualizing Alignment Results
Outline
Identifying Genetic Variants (SNPs, InDels) • Variant Calling Algorithms (e.g., GATK, SAMtools) • Annotating Variants and Interpreting Results • Understanding Functional Impact of Variants
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Analyzing and Interpreting Bioinformatics Data • Data Visualization Tools (e.g., IGV, PyMOL) • Understanding Gene Expression, Differential Analysis, and Clustering • Presenting Bioinformatics Results for Research and Reports
Earn government-registered certification in Basics of Bioinformatics Workflows
e-Certificate and e-Marksheet issued on successful completion.
