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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.

4 daysBeginner12 ders
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

Participation details

Schedule, location, and access information for this course.

Training schedule

May18
1. Oturum
18 Mayıs 202620:00 – 21:30TR Time
May19
2. Oturum
19 Mayıs 202620:00 – 21:30TR Time
May23
3. Oturum
23 Mayıs 202614:00 – 16:00TR Time
May24
4. Oturum
24 Mayıs 202614:00 – 15:00TR Time
Location & Access
Online

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

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 Duration4 days
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.

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