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Transcriptomic Data Analysis with RNA-seq
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Transcriptomic Data Analysis with RNA-seq

Analyze gene expression and transcriptomic data with professional bioinformatics pipelines.

3 weeksIntermediate9 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 molecular biology, genetics, and bioinformatics

02

Biologists and clinicians aiming to perform independent transcriptomic data analysis

What You'll Learn

Skills and knowledge you will gain from this course.

Understand the entire RNA-seq workflow from sequencing to biological insight
Perform rigorous quality control (QC) on raw sequencing reads
Align reads to reference genomes and quantify gene expression levels
Conduct Differential Expression (DE) analysis to find significant genes
Visualize transcriptomic data using Volcano plots, PCAs, and Heatmaps

Term selection

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Select term

Selected term

August

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

About This Course

A comprehensive look at what this course offers.

Master RNA-seq data analysis from raw reads to differential expression. This 3-week comprehensive course covers quality control, alignment, quantification, and differential expression analysis using industry-standard bioinformatics tools.

Curriculum

A detailed breakdown of everything covered in this course.

3 bölüm · 9 konu

1
Introduction to Transcriptomics and RNA-seq Technologies
120 dk
2
Understanding FASTQ files and Raw Data Architecture
120 dk
3
Quality Control (FastQC) and Read Trimming Strategies
120 dk
1
Reference Genomes and Annotation (GTF/GFF) Files
180 dk
2
Read Alignment with STAR and HISAT2
180 dk
3
Transcript Quantification and Count Matrices (FeatureCounts)
180 dk
1
Statistical Models in RNA-seq and DESeq2 Workflow
180 dk
2
Data Visualization: Volcano Plots, Heatmaps, and PCA
210 dk
3
Functional Enrichment (GO & KEGG) and Project Presentations
180 dk

Requirements

What you need before starting this course.

  • Basic understanding of genetics and molecular biology
  • Fundamental statistics knowledge
  • A stable internet connection for web-based tools and R environments

Who This Is For

This course is perfect for you if...

  • Undergraduate and graduate students in molecular biology, genetics, and bioinformatics
  • Biologists and clinicians aiming to perform independent transcriptomic data analysis
  • Researchers dealing with high-throughput sequencing data

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.

Course Details

Key information about this course at a glance.

LevelIntermediate
Total Duration3 weeks
Course TypeLive Course
LanguageTürkçe
CertificateIncluded
Last Updated2026-08

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

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A very clear, example-driven course. Thank you to everyone who put in the effort.

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Selin G.

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We walked through pipeline setup from start to finish. Working with real datasets helped me go beyond theory.

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Mert K.

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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.

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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.

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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.

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Ahmet D.

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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.

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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.

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Deniz T.

Molecular Biology Student

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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.

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Ece Y.

Data Analyst

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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.

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Hilal D.

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The lessons are clear and helpful. My only suggestion is to solve more examples together during the session to understand better.

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1 / 10
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