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Bioinformatics: Basics to Advanced Research

Research Learning Center is a dedicated online learning platform designed to support learners of all levels.

What You'll Learn

🧬 What You'll Learn

🎁 Course Summary:
This course is designed for students, graduates, bioinformaticians, and early-career researchers who want to master computational biology, genomic data analysis, and advanced bioinformatics research from zero to professional level. Through live interactive sessions and real-world biological datasets, participants will learn how to extract genomic data, perform sequence alignments, conduct structural molecular docking, analyze RNA-Seq & NGS data, and leverage AI/ML in computational research.
Our expert-guided program offers hands-on practical project work, full class recordings, ready-to-use R/Python scripts, and direct opportunities for publication-track research collaboration.

🌟 What You Will Learn (Key Highlights):
✅ Foundations of Computational Biology: Master NCBI, UniProt, PDB, Ensembl, and essential biological databases
✅ Sequence Alignment & Phylogenetics: BLAST, Clustal Omega, and evolutionary tree construction using MEGA
✅ Structural Bioinformatics: 3D protein modeling, AlphaFold, and virtual drug screening via AutoDock Vina
✅ NGS & RNA-Seq Data Analysis: End-to-end Differential Gene Expression (DGE) pipelines for cancer genomics
✅ R & Python for Bioinformatics: Hands-on data wrangling, PCA, UMAP, and publication-ready heatmap visualization
✅ Systems Biology & AI Integration: Single-cell RNA-Seq, metagenomics, and machine learning models in biology
✅ Manuscript Preparation & Publication: Structuring in-silico research papers for Scopus & WoS indexed journals
✅ Research Collaboration: Opportunities to work on real publication-track projects with experienced researchers
✅ Ready-to-Use Resources: Access to pre-written R/Python scripts, workflows, datasets, and bioinformatics software tools

📅 Class Duration & Schedule:
⏰ Duration: 1.5 – 2 Hours per session
🗓️ Schedule: 3 Days/Week (Sat, Mon, Wed or Sun, Tue, Thu)
🕘 Timing: 9:00 PM (Flexible)

🎁 Bonuses for You:
📚 Full Course Material + Lecture Sheets + E-Book
🎥 Class Recordings & Templates
💻 Research Software Resource
🌍 International Collaboration Opportunities
🚀 Fast Publication Guidance
🎓 Certificate of Completion

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৳ 6,000.00
1
Duration: 1 Month
Total Course Fee: ৳ 6,000.00
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  • Total Fee ৳ 6,000.00