Bioinformatics for All - Bioinformatics Models, Methods and Algorithms
This workshop focuses on understanding bioinformatics and application of modeling frameworks, and algorithmic concepts in bioinformatics. to provide participants with a solid foundation in bioinformatics, covering topics such as sequence alignment, phylogenetics, and data analysis. Apply bioinformatics techniques to biological data analysis. These workshops provide detailed training in bioinformatics, with virtual office hours for personalized assistance.
Sequence Alignment
Variant Calling
Bioinformatics tools
Biological Networks
5 coding
2 quizzes
Beginners
5 reading
5 wet-lab
Multiomics
5 problems and applications
2 consulting and assessment sessions
Online, hands-on workshops
5 days (25 hours) to completed
2 Languages available (Arabic and English)
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