Webinar Recording Available All Levels Dr. Omics

Master Gene Expression Analysis with Galaxy : From Raw Data to Insights

Impactful Bioinformatics without code—unlocking high-throughput RNA-Seq transcriptomics.

4.5/5
English
Updated Aug 2026

About this course

The "Master Gene Expression Analysis with Galaxy: From Raw Data to Insights" training is a premier, data-driven computational masterclass engineered by Dr. Omics. This highly impactful program directly addresses the critical scientific requirement for executing advanced RNA-Seq pipelines without needing complex software programming or coding backgrounds. Participants will explore the exact technical methodologies required to process raw high-throughput sequencing data within the open-source web-based Galaxy ecosystem. The structured curriculum provides an end-to-end hands-on roadmap spanning quality control evaluation, index mapping alignment, and differential gene expression analysis. Attendees will learn how automated workflows eliminate manual file-handling bottlenecks to isolate key biological insights and transcriptomic variations. Modern concepts emphasize how establishing clean data structures inside Galaxy prepares datasets for advanced downstream artificial intelligence modeling and exploratory machine learning networks. Led by experienced computational scientists, this session serves as an essential technological roadmap for modern life science researchers. Ultimately, this comprehensive masterclass delivers a code-free data engineering blueprint to transform biological raw data into publication-ready molecular insights.

What you will learn

How to implement complete end-to-end RNA-Seq differential gene expression analysis pipelines entirely without writing code.

Strategic execution of automated quality control checks, read trimming, and filtering protocols on raw FASTQ sequencing files.

Advanced techniques to perform reference-guided transcript mapping, index genome alignments, and read count generation.

Practical methods to leverage integrated artificial intelligence principles for automated data validation and workflow orchestration.

Best practices for interpreting deep statistical insights and visualizing multi-omics data using built-in interactive graphics.

Skills you will gain

Transcriptomics Galaxy RNA-Seq Alignment Normalization Bio-IT Workflows Automation

Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

Foundations of the web-based Galaxy ecosystem, cloud platform interface navigation, and big data upload architectures.
Implementing automated sequence quality control validation, data pre-processing routines, and raw read adapter trimming.
Algorithmic reference alignment methodologies, index mapping tool selection, and transcript quantification file processing.
Executing differential gene expression statistical analysis metrics and isolating high-confidence biomarker candidates.
Combining independent analytical steps into automated, reproducible multi-omics pipelines ready for machine learning ingestion.

What you need to start

Basic conceptual understanding of fundamental molecular biology, cell genetics, or gene transcription dynamics.
Access to a computer system with an internet connection capable of operating standard web browsers.
Absolutely zero prior coding knowledge, software programming experience, or Linux terminal command-line background is required.

Who this course is for

This code-free computational biology training is specifically designed for molecular biologists, clinical research clinicians, microbiologists, botanists, wet-lab transitioners, and postgraduate life science scholars looking to break through data processing barriers without learning complex programming languages.

INR

₹199

~~₹999~~ 80% off

USD

$5

~~$20~~ 75% off

Indian learners pay in INR; international learners are billed in USD.

Make an Enquiry

This course includes

Format Recording Available
Level All Levels
Language English
Modules 1
Access 3 months
Certificate Yes
Provider Dr. Omics