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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.

6 hoursBeginner9 ders
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

Participation details

Schedule, location, and access information for this course.

Training schedule

May11
1. Oturum
11 Mayıs 202620:00 – 22:00TR Time
May12
2. Oturum
12 Mayıs 202620:00 – 22:00TR Time
May16
3. Oturum (Proje Sunumları)
16 Mayıs 202620:00 – 22:00TR Time
Location & Access
Online

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

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 Duration6 hours
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.

Free

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