Name: Hands-On Bioinformatics & Visualization – 1 Day Session | Mississauga
Start: 2026-03-27T09:00:00-04:00
End: 2026-08-20T17:00:00-04:00
Location: Regus ON, Mississauga - Robert Speck 2 (HQ)

$Hands-On Bioinformatics & Visualization \u2013 1 Day Session | Mississauga$

Learn bioinformatics basics, biological databases, sequences, and simple visualization tools used in modern biology, no coding required.
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.

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