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Health Informatics Workshop

Gene to Drug: A Hands-on Workshop on Multi-omics Gene Expression Analysis and Drug Discovery

This hands-on workshop on offers a deep technical dive into the Next-Generation Sequencing (NGS) and RNA-Seq data analysis, starting with Linux-based computational fundamentals and advancing through NGS data processing, gene expression quantification, and differential expression analysis. Participants will be trained to execute complete RNA-Seg analysis pipelines, from raw sequencing reads to biologically meaningful insights, using widely adopted tools such as HISAT2, StringTie, and DESeq2.

The workshop further emphasizes statistical analysis and data visualization using R, enabling participants to generate and interpret publication-quality graphical outputs, including heatmaps and volcano plots. In addition, a dedicated session will introduce fundamental biostatistics concepts and Python-based data analysis, employing libraries such as Biopython and pandas to develop robust, reproducible, and scalable computational workflows for NGS-based gene expression studies.

Dr. Pallavi Mishra (MUJ, Jaipur)   |   Dr. Akshay Kumar (IIT-Bomaby)   |   Mohd. Atique Barudgar (Techknowgreen Solutions)

Program Mode: Hybrid

TimeSession TitleSpeaker
09:30 – OnwardsRegistration
10:00 – 10:05Welcome AddressDr. Ankit Srivastava
10:05 – 13:00
  • Module 1: Linux for Bioinformatics
  • Module 2: Introduction to NGS Data Analysis
  • Module 3: RNA-Seq Data Analysis
  • Module 4: Gene Expression Quantification
  • Module 5: Differential Expression Analysis
  • Module 6: Data Visualization Using R
Dr. Pallavi Mishra
13:00 – 14:00Lunch Break
14:00 – 18:00
  • Module 1: Python Introduction & Data Structures
  • Module 2: Data: Introduction & Understanding with Python
  • Module 3: Statistical Foundation for Biological Data
  • Module 4: Hands-on Applied Data Analytics
Dr. Akshay Kumar
Mohd. Atique Barudgar