VIDEO and FREE TRIAL
Qlucore Omics Explorer video
Qlucore Omics Explorer free trial
We also offer personal webinars. Do you want to discuss any Qlucore software related topics and/or are interested in a personal webinar? Contact us.
You can watch previous webinars here.
The importance of precise tumor classification is rising sharply in pace with the availability of targeted therapies. Bladder cancer is no exception. In this webinar, we describe how Qlucore Insights increases the information that builds the foundation for downstream decisions through automated expression profiling and gene fusion detection. A short live demonstration of Qlucore Insights is also part of the presentation.
In this webinar, we will combine transcriptomics and proteomics data and demonstrate how you can quickly identify correlations between genes and proteins. Multi-omics data analysis approaches enable a better understanding of the system under study. We will demonstrate the use of the Biomarker Workbench by using protein values from one dataset as sample annotations (factors) in a second dataset (genes) to do regression analysis and generate correlation values as well as significance.
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.
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.
This webinar showcases Qlucore Insights and its advanced lung cancer analysis capabilities. Our platform utilizes gene expression profiles to subclassify lung tumors with high accuracy. We will demonstrate how Qlucore Insights detects both known and novel gene fusions as well as tissue of origin for metastases in the lung. See how our tool translates complex genomic data into actionable results.
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.
Many users get RNA-seq data in the form of a raw count matrix, either directly in an excel/csv/ txt file, or through aligned BAM file import. With the program you import the data, select the normalization method you want to apply, and the visualization and statistical tests you want to utilize. In this webinar we will present both the VST normalization and the use of DESeq2 statistical tests (Wald and LRT), as well as TMM/TPM/FPKM normalization and standard statistics (t-test/ANOVA etc).
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.