Master Basics of Proteomics and Transcriptomics in 4 weeks through hands-on, project-based online training with DSTC.
The Basics of Proteomics and Transcriptomics course is a free, beginner-friendly self-paced program designed to introduce learners to how RNA and protein data are studied to understand biological systems and cellular functions. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Basics of Proteomics and Transcriptomics course is a free, beginner-friendly self-paced program designed to introduce learners to how RNA and protein data are studied to understand biological systems and cellular functions.
1. Put Artificial Intelligence techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
β’ Master's and senior undergraduate students specializing in Artificial Intelligence
β’ R&D engineers and working professionals applying Artificial Intelligence in industry
β’ Academics and educators building research or teaching capacity in Artificial Intelligence
β’ A demonstrable Artificial Intelligence project for your research or industry portfolio.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
What are Proteomics and Transcriptomics? β’ Role of RNA and Proteins in Biology β’ Importance of Gene Expression Studies β’ Applications in Healthcare and Biotechnology
Introduction to RNA and Transcriptomes β’ Gene Expression Basics β’ RNA Sequencing Concepts β’ Importance of Transcriptomic Data
Introduction to Proteins and Proteomes β’ Protein Structure and Function Basics β’ Protein Identification Concepts β’ Biological Importance of Proteomic Data
Disease Research and Biomarker Discovery β’ Drug Discovery and Precision Medicine β’ Applications in Biotechnology and Agriculture β’ Omics Data in Modern Research
AI and Data Science in Omics Research β’ Emerging Trends in Systems Biology β’ Career Opportunities in Omics and Bioinformatics β’ Mini Learning Activity / Concept-Based Practice
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Proteomics |
| Covered Tool / Platform | Transcriptomics |
| Covered Tool / Platform | Gene Expression |
| Covered Tool / Platform | RNA Analysis |
| Covered Tool / Platform | Protein Analysis |
Based on 0 scholar submissions
No verified reviews published yet. Be the first to share your academic experience.
Your rating will help prospective scholars. Ratings below 3 stars are routed privately to the faculty mentor for immediate response.