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Introduction to Bioinformatics Training
One Day

Introduction to Bioinformatics Training

An intensive introductory program providing fundamental knowledge and hands-on skills for computational analysis of biological data

1 DayBeginner
All courses
100+ graduates96% satisfaction4.8Overall Average Rating
Yasin Polat
Instructor
Yasin Polat
01

Biology, molecular biology, and genetics students and graduates

02

Medicine, pharmacy, and agriculture students or professionals

What You'll Learn

Skills and knowledge you will gain from this course.

Understand bioinformatics concepts and application areas
Effectively use biological databases
Apply the fundamentals of sequence analysis
Comprehend biological data visualization methods
Get introduced to Python, R, and Linux-based bioinformatics tools

Term selection

Choose the term that works for you.

Select term

Selected term

October

October 5, 2026 (Monday)
8:00 PM – 11:00 PM (TR Time)
Location & Access
Online

About This Course

A comprehensive look at what this course offers.

Introduction to Bioinformatics Training is a one-day intensive program designed to provide fundamental knowledge and skills for analyzing biological data computationally. Participants will learn bioinformatics tools, databases, sequence analysis, and basic visualization methods through hands-on practice.

Curriculum

A detailed breakdown of everything covered in this course.

2 bölüm · 6 konu

1
What is Bioinformatics? Application Areas and Historical Development
30 dk
2
Biological Data Types, Databases, and Access Methods
30 dk
3
Introduction to Sequence Analysis: Nucleotide and Protein Sequences
30 dk
1
Genomic Data Analysis: DNA Sequencing and Variant Calling
30 dk
2
Transcriptomics: RNA-Seq Data Processing and Differential Expression Analysis
30 dk
3
Fundamentals of Proteomics and Structural Bioinformatics
30 dk

Requirements

What you need before starting this course.

  • Basic computer literacy (file management, web browser usage)
  • Basic interest in biology or life sciences
  • Basic English reading skills (ability to understand scientific terms)
  • Personal computer (Windows, macOS, or Linux) for hands-on exercises

Who This Is For

This course is perfect for you if...

  • Biology, molecular biology, and genetics students and graduates
  • Medicine, pharmacy, and agriculture students or professionals
  • Those interested in computer science and data science aiming to work with biological data
  • Life sciences graduates seeking to improve biological data analysis skills
  • Academics and researchers working in genomics, transcriptomics, and proteomics

Instructor

Your guide throughout this course.

Yasin Polat

Yasin Polat

Yasin Polat is an instructor and researcher specializing in bioinformatics. He works on biological data analysis, sequence analysis, genomics, and transcriptomics, and delivers hands-on training using Python, R, and Linux-based bioinformatics tools. He aims to convey his experience from academic and industrial projects to participants in a clear and practical manner.

Course Details

Key information about this course at a glance.

LevelBeginner
Total Duration1 Day
Course TypeLive Course
LanguageEnglish
CertificateIncluded

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

1 / 10
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