Attribute
Detail
Format
Recorded Lectures (Self-Paced)
Level
Advanced
Duration
3 Days (1.5 Hour/day)
Certification
e-Certification + e-Marksheet
Tools
Python, Biopython, FASTQC, Trimmomatic, BLAST, DIAMOND
About the Arg Detection Course
This 3‑day intensive program (1.5 hour lecture per day) delivers a complete introduction to detection and characterization of antibiotic resistance genes (ARGs) using state‑of‑the‑art bioinformatics pipelines.
You will blend theory with hands‑on practice covering ARG databases, quality control, computational detection, annotation, abundance analysis, and visual storytelling. The workflow is reproducible and ready for academic, clinical, or industry projects.
Program Highlights
• Comprehensive coverage of Advanced ARG Detection from fundamentals to advanced applications
• Hands-on projects and real-world case studies in biotechnology
• 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
• Practical experience with tools: Python, Biopython, FASTQC, Trimmomatic
• Career-oriented training for academic and professional growth in biotechnology
Course Curriculum
Module 1: Day 1 – Introduction to Antibiotic Resistance and ARGs
- Explore mechanisms of antimicrobial resistance and functional ARG classes
- Navigate major ARG databases (CARD, ResFinder, ARG‑ANNOT, NCBI AMR)
- Perform sequence quality control with FASTQC & Trimmomatic
Module 2: Day 2 – Detection and Annotation of ARGs
- Apply BLAST, DIAMOND, and HMMER for ARG detection
- Utilize CARD/RGI and Python libraries for functional annotation
- Quantify ARG abundance across genomes and metagenomes
Module 3: Day 3 – Characterization, Visualization, and Reporting
- Generate phylogenetic and co‑occurrence analyses of ARGs
- Create heatmaps, barplots, and network diagrams with Python (seaborn, matplotlib, networkx)
- Assemble a reproducible, publication‑ready ARG report
Tools, Techniques, or Platforms Covered
Python
Biopython
FASTQC
Trimmomatic
BLAST
DIAMOND
HMMER
CARD/RGI
pandas
seaborn
Real-World Applications
- Apply Advanced ARG Detection skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical biotechnology competencies
- Solve industry-relevant problems using Advanced ARG Detection methodologies and tools
- Contribute to open-source projects and collaborative research in biotechnology
- Prepare for competitive examinations, interviews, and professional certifications in biotechnology
Who Should Attend & Prerequisites
- Industry‑recognized e‑Certification + e‑Marksheet from NSTC
- Hands‑on training with real bacterial genome & metagenome datasets
- Dedicated expert mentorship and doubt resolution throughout the course
Prerequisites:
Frequently Asked Questions
1. What is the format of this Advanced ARG Detection: Bioinformatics Tools for Research course?
This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of biotechnology concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 3 Days (1.5 Hour/day). The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to biotechnology. Our mentors are industry experts and experienced professionals.
Enroll in Advanced ARG Detection: Bioinformatics Tools for Research today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering biotechnology skills that matter.