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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 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 can explore and analyze experimental data using a highly visual and interactive tool in several hands-on exercises. You will do exercises on visualization of data in PCA plots and Heatmaps, run a statistical test to find discriminating variables, and learn how to explore a dataset to find interesting clusters. You do not need any previous experience with the program. No programming is needed. Course material and a training license will be sent out prior to the course.

The new Qlucore Diagnostics CE-marked test (IVDR) leverages AI-driven machine learning to expand patient coverage by up to 7% in pediatric leukemia. The Qlucore Diagnostics BCP ALL test provides Gene expression subtype classification as well as Gene fusion analysis support using RNA-seq data from standard lab workflows. This integrated approach enhances diagnostics and supports clinicians in tailoring treatment strategies. This webinar is an introduction to Qlucore Diagnostics BCP-ALL.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you can explore and analyze experimental data using a highly visual and interactive tool in several hands-on exercises. You will do exercises on visualization of data in PCA plots and Heatmaps, run a statistical test to find discriminating variables, and learn how to explore a dataset to find interesting clusters. You do not need any previous experience with the program. No programming is needed. Course material and a training license will be sent out prior to the course.

Qlucore Omics Explorer supports a multitude of plot types, like 3D PCA, UMAP, Heatmap, t-SNE, Volcano, Violin, Venn, Scatter, Bar, Line, Histogram, Pie Chart, Kaplan Meier etc. In this webinar we will go through several exploration and analysis scenarios, to show how you can easily utilize and configure various plot types to visualize your results.

You can use the capabilities in Qlucore Omics Explorer to analyze NPX data from Olink® panels. The Qlucore Import Wizard can import normalized NPX data (both matrix data and vector data). Control samples and variables are easily removed. You can then use the multitude of statistical tests and interactive plots in Qlucore for analysis and exploration. You can also do multi-omics correlation analysis, combining your Olink® data with other datasets.

Bladder cancer impacts about half a million people each year. Despite advancements, treatment options remain limited. Discover how Qlucore Insights (RUO) can support risk assessment of bladder tumors through expression profiling and gene fusion detection using RNA-seq data from standard lab workflows. This session provides a comprehensive introduction to Qlucore Insights, including a live demonstration of the Bladder Test. Attendees will gain insight into how the solution works, how results are presented, and how it can be integrated into existing laboratory workflows.

In this webinar, we will import a multi-omics dataset in which both methylation and transcriptome data have been measured. We will perform a discriminant analysis to identify differences between groups and conduct both positive and negative correlation analyses to determine which methylation islands are associated with the discriminating RNA transcripts.