Attribute	Detail
Format	Recorded Lectures
Level	Beginner
Duration	3 Days (1.5 Hours Per Day)
Certification	e-Certification + e-Marksheet
Fee	Free
Tools	Python R/Bioconductor BLAST Biopython Galaxy UniProt NCBI PyMOL

About the Hands-On AMR Course: Detecting Resistance Genes Using BLAST & NCBI Course

This course provides a hands-on dry-lab experience in analyzing sequence data to detect AMR genes.

Participants will learn how to retrieve sequences, perform BLAST searches, analyze alignment scores, and interpret resistance gene annotations. Real-world datasets will be used to demonstrate workflows for identifying resistance in bacterial genomes, supporting applications in healthcare, environmental monitoring, and research.

Program Highlights

• Comprehensive coverage of Hands from fundamentals to advanced applications

• Hands-on projects and real-world case studies in Bioinformatics

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Exposure to industry-standard tools and platforms used in Bioinformatics

• Career-oriented training for academic and professional growth in Bioinformatics

Course Curriculum

Module 1: Introduction to Hands

Overview and historical evolution of Hands
Key terminology, definitions, and core concepts in Bioinformatics
Current industry landscape, trends, and career opportunities
Setting up the learning environment and essential tools

Module 2: Fundamentals and Theoretical Foundations

Core principles and scientific/theoretical underpinnings of Hands
Mathematical and analytical frameworks relevant to Bioinformatics
Comparative analysis of major approaches and methodologies
Understanding key standards, guidelines, and best practices

Module 3: On AMR Course

Core concepts and techniques in On AMR Course
Practical implementation and hands-on exercises
Integration of On AMR Course with Hands workflows
Case study: Real-world application of On AMR Course

Module 4: Detecting Resistance Genes Using BLAST

Core concepts and techniques in Detecting Resistance Genes Using BLAST
Practical implementation and hands-on exercises
Integration of Detecting Resistance Genes Using BLAST with Hands workflows
Case study: Real-world application of Detecting Resistance Genes Using BLAST

Module 5: Sequence Alignment

Introduction to Sequence Alignment concepts and methodologies
Step-by-step practical implementation of Sequence Alignment techniques
Tools and platforms commonly used for Sequence Alignment
Troubleshooting, optimization, and best practices

Module 6: Advanced Topics and Emerging Trends in Bioinformatics

Cutting-edge research and innovations in Hands
Integration with AI, automation, and modern technologies
Industry case studies and real-world problem solving
Future directions and career pathways in Bioinformatics

Module 7: Capstone Project and Assessment

End-to-end project implementation using Hands skills
Peer review, collaborative exercises, and expert feedback
Portfolio-ready project documentation and presentation
Final assessment and course completion evaluation

Tools, Techniques, or Platforms Covered

Python R/Bioconductor BLAST Biopython Galaxy UniProt NCBI PyMOL

Real-World Applications

Apply Hands skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical Bioinformatics competencies
Solve industry-relevant problems using Hands methodologies and tools
Contribute to open-source projects and collaborative research in Bioinformatics
Prepare for competitive examinations, interviews, and professional certifications in Bioinformatics

Who Should Attend & Prerequisites

Students pursuing degrees in Bioinformatics, science, engineering, or related disciplines
Working professionals seeking to upskill or transition into Bioinformatics roles
Researchers and academicians looking to adopt modern techniques in Bioinformatics
Entrepreneurs, freelancers, and self-learners interested in practical Bioinformatics knowledge

Prerequisites: No prior experience in Bioinformatics is required. Basic computer literacy and a stable internet connection are sufficient. This course is designed to be beginner-friendly.

Certification