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RNA-seq analysis has become the dominant for method measuring gene expression. The software supports bulk as well as single cell RNA-seq. In this webinar, we will focus on how to analyze bulk RNA-seq data. Import of data as bam-files, raw count as well as normalized count matrices will be covered as well as preprocessing of the data after import. Typical workflows involving statistical analysis, visualization, and presentation of results in different plot types will be presented.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you canbefore and analyze experiment data using a highly visual and interactive tool in several hands-on exercises. You do not need any previous experience with the program. Course material and a training license will be sent out before the course.

Multi-omics data analysis approaches are becoming increasingly popular, providing a better understanding of the system under study. In this webinar, we will combine transcriptomics and proteomics data and demonstrate how you can quickly identify correlations between genes and proteins. The results will be visualized in several different plots.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you canbefore and analyze experiment data using a highly visual and interactive tool in several hands-on exercises. You do not need any previous experience with the program. Course material and a training license will be sent out prior to the course.

The combination of standard RNA-seq and Qlucore Insights represents a powerful approach to the exploration of the molecular basis for ALL. In this webinar, we present how this is achieved and what benefits it brings. In addition to describing the process, we will perform a live demo of the software to show how to get from seq data to a report.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you canbefore and analyze experiment data using a highly visual and interactive tool in several hands-on exercises. You do not need any previous experience with the program. Course material and a training license will be sent out prior to the course.