Topic: Bulk RNA-Seq

Powerful and Intuitive Gene Expression Visualization Tools to Interpret Biological Signals – Bulk and Single Cell Data

The increasing use of genomic technologies, such as RNA-Seq and single cell RNA-Seq, to assess gene expression patterns has led to an unprecedented amount of data. For many, the size and complexity of these data sets make it challenging to see the biological signals. But not anymore.

The visualization tools in Partek^® Flow^® provide the flexibility needed to display gene expression results ready for publication. Our powerful, interactive plots also facilitate novel discovery and provide fast and accurate QAQC. Together with the easy-to-use point and click interface, Partek Flow allows you to answer more questions and move forward with your research.

In this webinar, you will learn how to visualize gene expression data using:

• Feature distribution plots
• Sample correlation plots
• Volcano plots
• Chromosome view
• Dot plots
• Violin plots
• Hierarchical clustering
• PCA
• t-SNE
• Customizable scatterplots

WebEx link: https://cbiit.webex.com/cbiit/j.php?MTID=m634db94c7c42f1eb6dcf1850c27bd2c6

This training will provide an introduction to RNA-seq data analysis followed by tutorials showing the use of popular RNA-seq analysis packages and preparing participants to independently run basic RNA-Seq analysis for expression profiling. The exercise will run on the Galaxy platform using Illumina paired-end RNA-seq data.

Participants will have a chance to: run quality control check on sequencing data; align the sequencing reads to a reference genome; generate alignment statistics and check mapping quality; measure abundance of transcripts; perform differential expression analysis; and visualize the output of RNA-seq analyses.