Introduction of Multiomics Workflow and Bioinformatics Pipelines for Beginners
This workshop focuses on introducing bioinformatics pipelines to researchers and practitioners who are new to computational biology. The session covers fundamental concepts, tools, and frameworks used in pipeline development for multiomics data analysis. Participants will gain hands-on experience in constructing and executing bioinformatics workflows using popular tools such as Nextflow, Snakemake, and Galaxy. The goal is to equip attendees with the knowledge to automate repetitive tasks and enhance the reproducibility of bioinformatics analyses.
Biological Data
Bioinformatics
Workflow Automation
Computational Biology
10 coding
8 reading
5 problems and applications
5 days (25 hours) to completed
3 quizzes
no wet-lab
2 consulting and assessment sessions
2 Languages available (Arabic and English)
Intermediate
Multiomics
Online, hands-on workshops
Scientists, bioinformaticians, and students
Workshop Structure
Day 1: Introduction to Bioinformatics
This session provides a foundational introduction to bioinformatics, covering key concepts, methodologies, and applications across biological and medical research. Participants will gain an understanding of how computational tools and techniques are used to analyze biological data, with a focus on genomics, transcriptomics, and proteomics.
Intro. of Bioinformatics
Day 2: Sequence Alignment – Mapping Pathogen Genomes
Introduction to sequence alignment techniques and algorithms, including pairwise/multiple alignments and read mapping to reference geneome. Hands-on practice with quality control tools and alignments such as BWA, Bowtie2, and Minimap2 for aligning pathogen genomes to references.
Sequence Alignment
Day 3: Variant Calling – Identifying Pathogen Variants
Exploring SNP and indel detection in pathogens using next-flow workflows including, GATK, FreeBayes, and LoFreq. Participants will learn to process raw sequencing data, filter variants, and annotate their effects on pathogen behavior.
Variant Calling
Day 4: Variant Analysis
This session focuses on identifying and interpreting genetic variants using bioinformatics approaches. Participants will learn how to analyze single nucleotide polymorphisms (SNPs), insertions/deletions (INDELs), and structural variants using computational pipelines and annotation tools. The session will also cover the clinical significance of genetic variants in disease research and precision medicine.
Variant Analysis
Day 5: Variant Network Analysis
This session explores how genetic variants interact within biological networks and pathways. Participants will learn how to integrate genetic variation data with functional network analysis to uncover relationships between genes, proteins, and diseases. The session will introduce visualization techniques for constructing and interpreting variant-gene interaction networks.
Real-world applications