🔬 Bioinformatics Training Program​

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🌟 Overview

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The Bioinformatics Training Program at Manna Biotech is designed to equip participants with both theoretical knowledge and hands-on computational skills in the field of modern biology. The program integrates concepts of genomics, transcriptomics, proteomics, and systems biology with the latest computational tools, enabling learners to apply bioinformatics in academic research, biotechnology, pharmaceuticals, and clinical applications.

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🎯 Key Features

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• Hands-on Learning: Work with real biological datasets from public repositories and next-generation sequencing platforms.

• Industry-Ready Tools: Training on widely used bioinformatics tools, pipelines, and software.

• Research-Oriented: Emphasis on project-based learning aligned with current research trends.

• Interdisciplinary Focus: Merges biology, computer science, and statistics for holistic learning.

• Flexible Format: Available in both offline (laboratory-based) and online (live/interactive) modes.

• Certification: QR-verifiable certificate upon successful completion.

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📚 Training Curriculum

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Module 1: Foundations of Bioinformatics

• Introduction to bioinformatics and its scope in modern biology

• Types of biological databases and their applications

• Sequence formats and genome annotation basics

• Introduction to genome browsers and data visualization

Module 2: Sequence Analysis

• Sequence alignment algorithms (local, global)

• BLAST and its applications

• Multiple sequence alignment (ClustalW, MUSCLE, MAFFT)

• Phylogenetics and evolutionary analysis

Module 3: Structural Bioinformatics

• Protein structure databases (PDB, Swiss-Model)

• Homology modeling and molecular dynamics basics

• Protein visualization tools (PyMOL, Chimera)

• Molecular docking and virtual screening

Module 4: Genomics & Transcriptomics

• Next-Generation Sequencing (NGS) technologies and workflows

• Genome assembly and annotation tools

• RNA-Seq analysis: transcript quantification and expression profiling

• Metagenomics: 16S rRNA and whole-genome sequencing

Module 5: Proteomics & Systems Biology

• Protein-protein interaction mapping

• Pathway and network analysis (KEGG, STRING, Reactome)

• Systems biology approaches using Cytoscape

• Biomarker identification strategies

Module 6: Drug Discovery & Translational Bioinformatics

• Target discovery using computational methods

• Molecular docking and drug design case studies

• Pharmacogenomics and precision medicine

• ADMET prediction tools

Module 7: Data Science & AI in Bioinformatics (Advanced)

• Introduction to Python and R for bioinformatics

• Biopython and BioConductor workflows

• Machine learning for omics datasets

• AI in protein structure prediction (AlphaFold and beyond)

Module 8: Project Work

• Independent or guided projects based on real datasets

• Data preprocessing, analysis, and result interpretation

• Report preparation and presentation skills

• Guidance for publication and career opportunities

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👩‍🎓 Who Should Join?

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• Undergraduate and postgraduate students in life sciences

• Ph.D. scholars and postdoctoral researchers

• Faculty members looking to upskill in computational biology

• Professionals in biotechnology, pharmaceuticals, and healthcare

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🖥️ Mode of Delivery

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• Offline Training: Practical, lab-based sessions at Manna Biotech labs

• Online Training: Instructor-led sessions with interactive Q&A

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🏅 Certification

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Participants will receive a QR-verifiable Certificate of Completion from Manna Biotech, recognized for academic and professional advancement.