Multi omics approaches to data analysis is becoming more and more 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 a number of different plots.

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This webinar is a demo of Qlucore Insights that will illustrate its functionalities – from import of data to completion of a report ready to be sent. Learn about the benefits of RNA-seq based subclassification and our gene fusion analysis tool.

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

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Are you looking for enhanced biological network-based gene set interpretation? Use NDEx Integrated Query together with Qlucore Omics Explorer to go deeper into the functional analysis of RNA-seq. Networks are a great tool for discovery and prediction, especially when exploring complex processes and diseases where differential gene expression analysis is not providing results. During a live demonstration of Qlucore Omics Explorer, with in built GSEA workbench, the work and output will be combined with analysis in NDEx/Cytoscape. We will find differentially expressed genes, enriched pathways in GSEA and we will take one pathway into NDEx/Cytoscape to find matches and to build biological networks with pathway figures. We will use a public RNA-seq dataset from GREIN database. Have a look here: https://home.ndexbio.org/quick-start/ Presenter: Yana Stackpole, PhD

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In this online course we will explore statistical methods available in Qlucore Omics Explorer, like t-test, ANOVA, regression test, two-way analysis, and paired tests. We will also cover the Biomarker Workbench, which can be used find the most interesting annotations in a dataset, and to identify correlations between sample annotations. We will also see how you with the use of eliminated factors can remove the influence of covariates in a dataset. We recommend that you have previous experience with Qlucore Omics Explorer or that you have attended the Basic training recently. Course material and a training license will be sent out prior to the course.

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The webinar shows how you can interactively work with your data utilizing the wide range of plots available in Qlucore Omics Explorer, also introducing Venn diagrams, Volcano plots, Box plots, Scatter plots and Kaplan Meier plots. Inbuilt methods for data exploration and statistical analysis will also be demonstrated using transriptomics and proteomics data.

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Are you looking for enhanced biological network-based gene set interpretation? Use NDEx Integrated Query together with Qlucore Omics Explorer to go deeper into the functional analysis of RNA-seq. Networks are a great tool for discovery and prediction, especially when exploring complex processes and diseases where differential gene expression analysis is not providing results. During a live demonstration of Qlucore Omics Explorer, with in built GSEA workbench, the work and output will be combined with analysis in NDEx/Cytoscape. We will find differentially expressed genes, enriched pathways in GSEA and we will take one pathway into NDEx/Cytoscape to find matches and to build biological networks with pathway figures. We will use a public RNA-seq dataset from GREIN database. Have a look here: https://home.ndexbio.org/quick-start/ Presenter: Yana Stackpole, PhD

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