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Applied Genomic Data Analysis with Bioinformatics Tools
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Applied Genomic Data Analysis with Bioinformatics Tools

Analyze complex genomic datasets using professional web-based tools and cloud platforms.

3 weeksBeginner12 lessons
All courses
100+ graduates96% satisfaction4.8Overall Average Rating
Yasin Polat
Instructor
Yasin Polat
Scientific Data Science and Automation Specialist
01

Undergraduate and graduate students in genetics, biology, and related fields

02

Biologists, clinicians, and beginners aiming to perform independent data analysis

What You'll Learn

Skills and knowledge you will gain from this course.

Navigate and extract data from major biological databases (NCBI, Ensembl, UCSC)
Design and execute full NGS analysis pipelines on the Galaxy Project platform
Perform rigorous quality control and sequence alignment for genomic data
Identify and annotate genetic variants without writing code
Interpret biological pathways and gene networks from genomic findings

Term selection

Choose the term that works for you.

Select term

Selected term

July

Monday and Wednesday
6:00 PM – 8:00 PM (TR Time)
Location & Access
Online

About This Course

A comprehensive look at what this course offers.

Master genomic data analysis using powerful web-based bioinformatics platforms. This expanded 12-lesson course focuses on practical applications without requiring extensive coding, covering sequence alignment, variant calling, and functional annotation through intuitive cloud-based interfaces.

Curriculum

A detailed breakdown of everything covered in this course.

4 bölüm · 12 konu

1
NCBI and Ensembl: Navigating Global Biological Repositories
30 dk
2
Genome Browsing with UCSC: Tracks, Hubs, and Custom Views
35 dk
3
Data Formats Deep Dive: FASTA, FASTQ, BAM, and VCF Standards
30 dk
1
Galaxy Project Ecosystem: Interface and History Management
40 dk
2
Quality Control (QC) and Trimming Strategies for Raw Reads
45 dk
3
Mapping and Alignment: From Short Reads to Reference Genomes
45 dk
1
Variant Calling Workflows: Identifying SNPs and Indels
50 dk
2
Annotation Strategies: Predicting Pathogenicity and Conservation
40 dk
3
Visualizing Variants in IGV (Integrative Genomics Viewer)
35 dk
1
Presentation of Assigned Projects: Session 1
45 dk
2
Presentation of Assigned Projects: Session 2
45 dk
3
Project Evaluations and Q&A
30 dk

Requirements

What you need before starting this course.

  • Basic understanding of genetics and molecular biology
  • No programming experience required
  • A stable internet connection for web-based analysis

Who This Is For

This course is perfect for you if...

  • Undergraduate and graduate students in genetics, biology, and related fields
  • Biologists, clinicians, and beginners aiming to perform independent data analysis
  • Researchers transitioning to high-throughput genomic data interpretation

Instructor

Your guide throughout this course.

Yasin Polat

Yasin Polat

Scientific Data Science and Automation Specialist

Designs advanced scientific data science and software automation solutions to manage the massive data load of modern biological research. Expert in building reproducible analysis architectures that prioritize computability and transparency in multi-omics projects.

Course Details

Key information about this course at a glance.

LevelBeginner
Total Duration3 weeks
Course TypeLive Course
LanguageTürkçe
CertificateIncluded
Last Updated2026-05

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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