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Introduction to Bioinformatics and Omics Data Structures
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Introduction to Bioinformatics and Omics Data Structures

Apply web-based tools to genomic data and unlock the theoretical concepts behind multi-omics structures.

3 weeksBeginner9 lessons
All courses
100+ graduates96% satisfaction4.8Overall Average Rating
Yasin Polat
Instructor
Yasin Polat
Scientific Data Science & Automation Specialist
01

Molecular Biology, Genetics, Biology, and Bioengineering students stepping into bioinformatics

02

Data scientists interested in the concepts of biological data

What You'll Learn

Skills and knowledge you will gain from this course.

Perform practical genomic analyses using standard web-based bioinformatics tools
Navigate and query major biological databases confidently
Grasp the theoretical foundations of transcriptomics and proteomics workflows
Understand the principles behind realistic 3D ribbon diagram visualizations
Differentiate key omics data formats and their structural concepts

Term selection

Choose the term that works for you.

Select term

Selected term

July

Tuesday and Wednesday
8:00 PM – 10:00 PM (TR Time)
Location & Access
Online

About This Course

A comprehensive look at what this course offers.

Discover the fundamentals of bioinformatics and learn how to navigate complex biological data. This course integrates biology and data science by providing hands-on experience with genomic web tools, while building a robust conceptual foundation in transcriptomics and proteomics workflows.

Curriculum

A detailed breakdown of everything covered in this course.

3 bölüm · 9 konu

1
What is Bioinformatics? The Intersection of Biology and Data
20 dk
2
Practical Navigation of Major Databases (NCBI, Ensembl)
35 dk
3
Essential Data Formats: FASTA, FASTQ, and SAM/BAM
40 dk
1
Applied Genomic Analysis: Exploring NGS Data via Web Tools
45 dk
2
Theoretical Foundations of RNA-Seq and Gene Expression
35 dk
3
Conceptual Overview of Variant Calling and VCF Files
30 dk
1
Conceptualizing Protein Structures and Proteomics Workflows
35 dk
2
Principles of Realistic 3D Ribbon Diagrams in Structural Biology
30 dk
3
Introduction to Molecular Docking Theory
40 dk

Requirements

What you need before starting this course.

  • Basic understanding of biology and genetics
  • Fundamental computer literacy and web browser usage
  • A desire to explore data-driven scientific research

Who This Is For

This course is perfect for you if...

  • Molecular Biology, Genetics, Biology, and Bioengineering students stepping into bioinformatics
  • Data scientists interested in the concepts of biological data
  • Researchers needing a foundational understanding of multi-omics

Instructor

Your guide throughout this course.

Yasin Polat

Yasin Polat

Scientific Data Science & Automation Specialist

Experienced in scientific data science, software automation solutions, and building transparent analysis architectures for multi-omics research.

Course Details

Key information about this course at a glance.

LevelBeginner
Total Duration3 weeks
Course TypeLive Course
LanguageTürkçe
CertificateIncluded
Last Updated2026-04

Frequently Asked Questions

Find answers to the most common questions about this course.

Our platform offers both live and pre-recorded training; you can check the specific 'Course Type' at the top of the course page. Our live courses are fully interactive and conducted simultaneously with the instructor.

While many of our live sessions are recorded, this may vary depending on the specific course. If a course is recorded, you will have access to the recordings through your profile. Please check the course description for exact details.

You can ask your questions directly to the instructor during the live sessions. Additionally, you can stay in constant touch with the instructor and other participants through course-specific WhatsApp communication groups.

Yes, upon successful completion of the live training program, a personalized, verifiable certificate of completion is issued to you. You can add this certificate to your resume and LinkedIn profile with a single click.

Depending on the course, the installation of required software (Python, VS Code, etc.) is usually demonstrated step-by-step during the first session. For courses with specific hardware requirements, these are detailed in the 'Requirements' section on the course page.

To put the theoretical knowledge into practice, hands-on projects and assignments are given at the end of each week or module. You will receive instructor feedback by completing these assignments.

Student Reviews

What our graduates say about our courses

AI in Scientific Research

A very clear, example-driven course. Thank you to everyone who put in the effort.

5

Selin G.

Biology Student

Applied Genomic Data Analysis with Bioinformatics Tools

We walked through pipeline setup from start to finish. Working with real datasets helped me go beyond theory.

5

Mert K.

Industry Professional

AI in Scientific Research

I took the course to build on my basics and I'm very happy with it. It was informative, not boring, and the interactive parts were great. I liked how common AI tools for researchers were explained simply and quickly.

4

Lane Ö.

Undergraduate Student

Introduction to Bioinformatics and Omics Data Structures

Core concepts are covered in a logical order. I saw omics data structures explained clearly for the first time. Reinforcing them with examples was really useful.

5

Zeynep A.

Graduate Student

Applied Genomic Data Analysis with Bioinformatics Tools

Real-world examples made genomic data analysis click for the first time. I could take the outputs from lab sessions straight into my workflow.

5

Ahmet D.

Industry Professional

Introduction to Bioinformatics and Omics Data Structures

The instructor explained the topic in a very clear way. I understood the material much better here than when it was covered mixed together in class.

5

Yiğit Ç.

Bioinformatics Student

AI in Scientific Research

It's a packed pace but the content is well structured. You learn a concrete tool or method in each section, so you can keep going without getting lost.

4

Deniz T.

Molecular Biology Student

Applied Genomic Data Analysis with Bioinformatics Tools

I now have a much clearer sense of which tools to use and when. The step-by-step structure in genomic analysis was exactly what I was looking for.

5

Ece Y.

Data Analyst

AI in Scientific Research

As a first-time learner I struggled with some parts beyond the presentations. Still, the instructor explained everything in a very clear way. I don't have enough background on the topic to offer suggestions.

4

Hilal D.

Physiotherapy Student

Introduction to Bioinformatics and Omics Data Structures

The lessons are clear and helpful. My only suggestion is to solve more examples together during the session to understand better.

5

Arden A.

Biology Student

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