NGS Data Analysis: Fundamental Webinar

In an era defined by Big Data, the ability to analyze Next-Generation Sequencing (NGS) data is a critical skill for any life scientist. This fundamental webinar provides a comprehensive introduction to the computational workflows required to process high-throughput genomic data. You will explore the transition from raw FASTQ files to processed BAM and VCF formats, emphasizing the role of AI-accelerated algorithms in improving alignment accuracy. The session covers essential quality control (QC) metrics using FastQC and the application of Deep Learning models for robust variant calling. Participants will gain insight into the digital infrastructure of modern genomics, including Cloud-based bioinformatics and automated pipeline orchestration. By bridging the gap between wet-lab sequencing and dry-lab analysis, this webinar empowers you to interpret complex transcriptomic and genomic datasets. Whether you are working with Illumina, PacBio, or Oxford Nanopore platforms, you will learn to navigate the 2026 landscape of Computational Genomics with confidence.