Master Introduction to Metagenomics in 4 weeks through hands-on, project-based online training with DSTC.
Bioinformatics & Computational Biology
Module-by-module breakdown of Introduction to Metagenomics, from foundations to a certified capstone project.
Outline
What is Metagenomics? โข Role of Metagenomics in Understanding Microbial Communities โข Difference Between Metagenomics and Traditional Microbiology โข Applications of Metagenomics in Research and Industry
Outline
Types of Samples Used in Metagenomics (Soil, Water, Human Microbiome, etc.) โข Sequencing Technologies Used in Metagenomics (16S rRNA, Shotgun Sequencing) โข Data Formats and Databases (FASTQ, GenBank) โข Challenges in Data Collection and Quality
Outline
Preprocessing Metagenomic Data โข Microbial Community Profiling and Taxonomy Assignment โข Functional Gene Annotation โข Introduction to Metagenomic Software Tools (QIIME, Mothur)
Outline
Microbial Diversity and Ecology โข Human Microbiome and Health Applications โข Metagenomics in Environmental Studies (Pollution, Bioremediation) โข Metagenomics in Agriculture and Biotechnology
Outline
Emerging Technologies in Metagenomics โข Role of AI and Machine Learning in Metagenomic Data Analysis โข Career Opportunities in Metagenomics and Microbial Research โข Mini Learning Activity / Concept-Based Practice
e-Certificate and e-Marksheet issued on successful completion.