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Applied Bioinformatics Summer Bootcamp
Bootcamp

Applied Bioinformatics Summer Bootcamp

Build advanced bioinformatics pipelines for high-throughput sequencing (NGS) data analysis using Python and Snakemake, starting from scratch.

7 weeksBeginner20 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 life sciences or computer science

02

Professionals seeking a transition into biotechnology and pharmaceutical industries

What You'll Learn

Skills and knowledge you will gain from this course.

Master Linux command-line tools and Python programming for biological data analysis
Process raw Next-Generation Sequencing (NGS) data in local environments
Design and develop end-to-end reproducible bioinformatics pipelines
Perform genomic variant analysis and biological data interpretation
Present scientific findings professionally and prepare projects for publication

Term selection

Choose the term that works for you.

Select term

Selected term

July 6 - August 12

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

About This Course

A comprehensive look at what this course offers.

An intensive and hands-on training program designed for individuals who want to specialize in bioinformatics. Starting from the fundamentals, participants will learn programming, analyze high-throughput sequencing data, and develop their own automated bioinformatics pipelines for modern biological research.

Curriculum

A detailed breakdown of everything covered in this course.

4 bölüm · 12 konu

1
Introduction to Bioinformatics and Linux Command Line Fundamentals
120 dk
2
Python for Biologists: Variables and Control Flow
120 dk
3
Advanced Python: Data Structures and the Biopython Ecosystem
120 dk
4
Python and Data Science Tools for Biological Data Analysis
120 dk
1
Quality Control (QC), Trimming and Raw Read Processing
120 dk
2
Reference Genome Mapping and Alignment Strategies
120 dk
3
Genomics: Variant Analysis and Interpretation of Genomic Data
120 dk
1
Reproducible Pipeline Development with Snakemake / Nextflow
120 dk
2
Bioinformatics Environment Management and Package Ecosystem with Conda
120 dk
1
Project Presentations and Code Review: Session 1
120 dk
2
Project Presentations and Code Review: Session 2
120 dk
3
Final Evaluations, Jury Feedback and Closing Session
120 dk

Requirements

What you need before starting this course.

  • Basic knowledge of genetics, biology, or computer science
  • No prior programming experience required
  • A computer capable of running local analysis environments (Docker/WSL recommended)

Who This Is For

This course is perfect for you if...

  • Undergraduate and graduate students in life sciences or computer science
  • Professionals seeking a transition into biotechnology and pharmaceutical industries
  • Researchers who want to independently analyze their own multi-omics datasets

Scenarios

Enroll to unlock personalized scenarios and discover your path step by step.

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 growing data demands of modern biological research. Experienced in building reproducible analysis architectures that prioritize transparency, scalability, and computational reproducibility in multi-omics projects.

Course Details

Key information about this course at a glance.

LevelBeginner
Total Duration7 weeks
Course TypeLive Course
LanguageTürkçe
CertificateIncluded
Last Updated2026-06

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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