RNA Seq Data Analysis: from raw reads to biological discovery

Unlock the power of transcriptomics in this RNA-Seq data analysis webinar, designed to provide both a strong conceptual foundation and an overview of the complete analytical workflow. The session will begin with an introduction to RNA-Seq, covering the fundamentals of transcriptomics, next-generation sequencing technologies, types of RNA-Seq experiments, and key considerations in experimental design. Participants will then explore the end-to-end RNA-Seq pipeline, including quality assessment of raw FASTQ files, read preprocessing, sequence alignment, transcript assembly, expression quantification, and differential gene expression analysis using widely adopted bioinformatics tools and Linux/Unix-based workflows. The webinar will also introduce downstream analyses such as Gene Ontology (GO) and KEGG pathway enrichment to help translate gene expression results into meaningful biological insights. Through practical examples and real-world datasets, attendees will gain an understanding of how RNA-Seq data is processed, analyzed, and interpreted to identify differentially expressed genes, biological pathways, and potential biomarkers. This session is ideal for students, researchers, and life science professionals seeking a comprehensive introduction to transcriptomics and RNA-Seq data analysis