Microbial NGS Data Analysis and Artificial Intelligence
Hands-on training at NIGAB-NARC combining microbial NGS analysis with introductory artificial-intelligence workflows.
NIGAB-NARC workshopDr. Shakira Ghazanfar develops practical learning experiences that connect microbial NGS data analysis, artificial intelligence, probiotic genomics and biological research practice.
A two-day practical training programme focused on converting raw microbial NGS data into biological insights and better product-development decisions.
Her training work translates laboratory and computational methods into guided learning for students, researchers and professionals. Sessions introduce the logic of microbial genome analysis, show how machine-learning methods can support biological questions, and connect software workflows with responsible interpretation of evidence.
Training topics include microbial NGS data analysis, artificial intelligence in biology, machine learning, probiotic genomics, scientific communication and practical research-tool development.
Concepts are introduced clearly, followed by demonstrations, guided analysis and discussion of how results should be validated in the laboratory.
Selected courses and workshops reflect a continuing effort to build confidence in biological data analysis and AI-enabled research.
Hands-on training at NIGAB-NARC combining microbial NGS analysis with introductory artificial-intelligence workflows.
NIGAB-NARC workshopPractical instruction in microbial NGS data analysis, sequence interpretation and the use of AI in biological research.
National training programmeThese public video records document workshops on microbial NGS analysis and artificial intelligence in biological research.

Second-day record from the hands-on training workshop at the National Institute for Genomics and Advanced Biotechnology, NARC, Islamabad.
Watch video
A public training link supplied for a workshop connecting microbial genome analysis with artificial-intelligence methods.
Watch video
Public record of the national workshop on microbial NGS data analysis and artificial intelligence.
Watch videoSequence data, genome records, quality interpretation and microbial research workflows.
Accessible introductions to machine learning, biological datasets and research-tool design.
Genome-informed strain characterization, functional traits and evidence-led selection.
Responsible interpretation, scientific communication, collaboration and reproducible analysis.