Easy and fast analysis of qPCR data saves you time. In this webinar we will have a look at how you can prepare, import, and analyze qPCR data. We will set up statistical tests to find discriminating variables and visualize the results in Heatmaps and Bar plots.

Molecular profiling enables improved subtype classification. The combination of standard RNA-seq and Qlucore Insights represents a powerful approach to the exploration of the molecular basis for leukemia. In this webinar we will present how this is achieved and what benefits it may bring to health professionals and patients. In addition to describing the process we will also perform a live demo of the software to show how to get from seq data to a report ready to be sent to the person who ordered the test.

Hands-on and integrated machine learning in one program. In the webinar we will build a classifier using one of the methods supported by Qlucore Omics Explorer (KNN, SVM, Random Trees, and XGBoost). We will also see how we can use the classifier to predict where samples in a new dataset belong and visualize probability information.

Analyze and inspect mutations and variants with a few mouse-clicks. In the webinar, we will create a project with needed files for mutation analysis (fasta, gtf, BAM) and optionally other files (vcf, BED, cytoband). We will do variant calling and examine mutations in the built-in Genome Browser, filtering out relevant information. We will also have a look at gene fusions using the integrated Gene Fusion workbench.

The Biomarker Workbench is optimized to improve the study of vast amounts of annotations in combination data. In the webinar we will introduce the Biomarker Workbench, a very efficient way to examine your dataset using available sample annotations, to better understand where you have potentially interesting information. We will also look at how you can use the Biomarker Workbench to find correlations between sample annotations.

Select and configure the optimal plot to present your results. In this webinar we will have a look at the many different plot types in the program, when they are efficient to use, and how you can configure the plots and export the results. We will have a look at the Scatter plot, Heatmap, Volcano plot, Bar Plot, the Venn Diagram, and the Kaplan-Meier plot among others.

Immunoassays are used for a multitude of purposes. In this webinar we will show how you can import data originated from an Olink® panel, and how you can use statistical functions and plots to analyze the data. The example data is publicly available. Olink® is a registered trademark of Olink Proteomics AB.

Molecular classification of subtypes in bladder cancer adds more information. In this webinar we will introduce Qlucore Insights and our model for molecular subclassification of bladder cancers. You will get to know the benefits of molecular classification of bladder cancers and a hands-on demonstration of how to perform the analysis. We will cover the whole process from seq data to analysis report.

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 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.

With Qlucore Inisghts you get a platform for fast and easy development and deployment of companion diagnostics (CDx) signatures.. In this webinar we will show how the flexibility and use of standard procedures for the generation of input data makes that possible. A live demonstration of the software will serve as an example of how it may be done.

The DNA does not differ to any large extent in most cells but the expression of genes may vary considerably both between cells. This and how that may be utilized to improve classification and possibly choice of treatment regimen based on the classification will be discussed in this webinar. A demonstration of how Qlucore Insights may assist in this process will also be performed.

Learn how the Qlucore lung cancer model can identify metastasis. The webinar will cover the reasons why Qlucore uses transcriptomic data for classification, a description of our new lung cancer classifier for Qlucore Insights, and a live demonstration of Qlucore Insights. The demonstration will cover the complete process, from the import of data to a report.

In this webinar we will show how the flexibility and use of standard procedures for generation of input data makes Qlucore Insights a classifier that can replace a wide range of older methods for analysis. A live demonstration of the software will serve as an example of how it may be done.