Bioinformatics & Data Visualization: 1 Day Step-Up Course in Toronto
Schedule
Mon, 05 Jan, 2026 at 09:00 am to Thu, 04 Jun, 2026 at 05:00 pm
UTC-05:00Location
Regus ON, Toronto - Yonge & Shuter | Toronto, ON
About this Event
Group Discounts:
- Save 10% when registering 3 or more participants
- Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
This workshop introduces participants to the essentials of bioinformatics and data visualization, combining biology with computer science in a simple and approachable format. Learners explore DNA and protein sequences, biological databases, sequence alignment, protein structure prediction, omics datasets, and basic data visualization techniques. No coding or computational background is required. All tools and concepts are explained in plain language, using real biological examples and guided activities. By the end of the training, participants will understand how biological data is analyzed, stored, compared, and visualized in modern research and healthcare.
Learning Objectives
- Understand the foundations of bioinformatics in simple language
- Navigate and use major biological databases
- Interpret DNA, RNA, and protein sequences
- Perform basic sequence searches using BLAST
- Understand high-level protein structure prediction
- Recognize omics data and create simple visualizations
- Use real biological datasets for basic analysis
Target Audience
- Biology students and beginners
- Medical, biotech, and life science learners
- Researchers entering computational biology
- Healthcare and laboratory trainees
- Students preparing for molecular or genomic studies
- Anyone curious about bioinformatics without coding
Why Choose This Course?
This workshop explains bioinformatics in a simple, beginner-friendly format while still covering the essential tools used in modern biology. You will learn through real examples, guided demonstrations, and practical data exercises, making complex concepts easy to understand.
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Would you like this training tailored for your students or research team?
We offer fully customized in-house sessions designed for schools, colleges, labs, and healthcare institutions. The content can be adapted to match your curriculum, research needs, and learner level, ensuring consistent understanding across your group.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: Introduction to Bioinformatics
Info: • Meaning of bioinformatics and its importance
• Biological data types: DNA, RNA, proteins and how computers analyze them
• Real applications in disease diagnosis, drug development, and research
• Icebreaker activity
Module 2: Biological Databases
Info: • Purpose and structure of biological databases
• Major resources: NCBI, Ensembl, UniProt, PDB
• How genome, protein, and 3D structure data is organized
• Activity
Module 3: Basics of DNA & Protein Sequences
Info: • Simple explanation of DNA, RNA, and protein sequences
• Understanding mutations and common file formats (FASTA/FASTQ)
• How sequence information is stored and interpreted
• Case study
Module 4: Sequence Alignment & BLAST
Info: • Purpose of sequence alignment and what similarities reveal
• High-level idea of how BLAST works
• Basics of interpreting BLAST output (identity score, matches)
• Role play
Module 5: Protein Structure Prediction
Info: • Why protein structure matters for health and disease
• Meaning of predicted structures in AlphaFold
• Simple idea of how AI models generate protein shapes
• Activity
Module 6: Omics Data & Visualization
Info: • Meaning of genomics, transcriptomics, and proteomics
• Understanding gene expression and biological patterns
• Basics of visualizing data using heatmaps and bar graphs
• Brain storming Activity
Module 7: Machine Learning in Biology
Info: • Simple meaning of machine learning in biology
• How ML predicts diseases or biomarkers
• Basic ideas: training data, accuracy, predictions (no coding)
• Action plan review
Where is it happening?
Regus ON, Toronto - Yonge & Shuter, 229 Yonge Street Suite 400, Toronto, CanadaEvent Location & Nearby Stays:
CAD 504.30 to CAD 663.69
