BioCode is offering 50% off this informative RNA-seq data analysis with Galaxy. Use our coupon code: GALAXY50 and take advantage of this discount offer. This offer is only valid until October 5th. RNA-seq data analysis using the Galaxy platform simplifies the execution of analyzes by providing several tools necessary to create and run a complete RNA-seq analysis pipeline.

Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. RNA-Seq offers many advantages over microarray technology. Galaxy is an online tool that has the necessary tools to create and run a complete RNA-seq analysis pipeline. It comes with most of the popular bioinformatics tools already installed and ready to use.

Learning the underlying concepts of RNA-Seq data analysis and the practical applications of RNA-Seq can be helpful to you and your research career. Therefore, you can get any RNA-Seq data from any public repository and discover which biomarkers are differentially expressed under two different conditions. These biomarkers can then be useful for therapies for that specific disease or condition.

In this course you will learn:
-Introduction to RNA-Seq, NGS and Galaxy
-Quality control and trimming using FASTQC, FastP, Cutadapt
– Mapping with HISAT2 and evaluation of coordination
-Discovering DEGs with StringTie, DESeq2
-Functional analysis with gene ontology and KEGG pathways

BioCode also offers a command-line RNA-seq data analysis with Linux & R course. In this course you will learn how to perform RNA-seq data analysis by writing scripts in Linux using the R language. This command-line practical RNA-seq data analysis with Linux & R is for absolute beginners who have no previous experience with Linux, R, or even RNA-Seq.

For more information about RNA-Seq data analysis, please DM us so we can help you get started. BioCode provides an interactive platform to learn biological programming in Python & R, bioinformatics techniques, tools, databases and biological data analysis in a cooperative manner, covering both theoretical and practical aspects of the computational biology topics. BioCode provides you with videos on every topic along with exercises. BioCode gives you the opportunity to learn at your pace and on your own schedule. With each video, BioCode provides you with the transcripts and PowerPoint presentation on that topic. If you have any questions during the lectures, there is a special section where you can ask your teacher questions.
Get hands-on RNA-Seq data analysis with the Galaxy course: https://bit.ly/3UKdeBA
Getting started with bioinformatics: https://bit.ly/3QfqnjD

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