Overview

Transcriptomics has, in recent years, emerged as a popular topic in biological research and real-world applications. With the revolution in next-generation sequencing (NGS) and bioinformatics, RNA sequencing (RNA-Seq) provides a high-throughput, high-sensitivity, and high-resolution technique that empowers high-impact research from single-cell, spatial to genome-wide association study. In this workshop, participants will gain insights into the application and practical workflow approaches for transcriptomics analysis. We will cover basic experimental design for RNA-Seq data analysis, including the use of various analytical tools, relevant file formats, reference genomes, transcriptome annotations, quality control measures, reference-based alignment, gene expression, and differential gene and isoform analyses. Hands-on exercises will be provided for participants to practice using complete analytical pipelines and computing resources on test datasets. The use of Artificial Intelligence (AI) and Machine Learning (ML) in connecting transcriptome information to environment parameters, nutrition, agricultural and clinical outcomes will also be covered.

Objectives

• To describe the basic experimental design and workflow approaches for transcriptomics analysis.
• To apply bioinformatics software and tools in analysing RNA-Seq data.
• To interpret and annotate data with functional information.

Extra Benefits

• FREE admission to Pre-workshop Webinar
• FREE 1-to-1 Genomic Clinic Consultation during workshop
• FREE 1-month Post-workshop Consultation

Speakers

• 

  Prof Hoh Boon Peng
  Professor, School of Health Sciences, IMU University

• 

  Ts Dr Yeannie Yap Hui Yeng
  Senior Lecturer, School of Health Sciences, IMU University

• A/Prof Goh Hoe Han
  Deputy Director, INBIOSIS, UKM

• 

  Dr Lee Wei Kang
  Vice President, Application Sciences, Codon Genomics

• 

  Dr James Liew Kok Jun
  Senior Bioinformatician, Codon Genomics

In collaboration with