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Watch previous webinars here
Hands-on Training Basic (Step 1)
Free online hands-on training. Learn how to easily analyze your experiment data yourself using Qlucore Omics Explorer. 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. Training begins at 2 pm CET (1 pm GMT, 8 am EST).
Webinar: Proteomics, RNA-seq and Single cell data analysis
In this webinar we will show examples on how to work with different data types e.g. Proteomics, RNA-seq data as well as Single cell data. We will use different public datasets from various sources like 10X Genomics, ProteomeXchange, TCGA and GEO. We will visualize data and interactively work with data using various plot types, like PCA, Heatmaps, t-SNE, Volcano and Box plots. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: Pathway analysis with Gene Set Enrichment Analysis (GSEA)
Learn how to use Gene Set Enrichment Analysis (GSEA) to analyze datasets using functional information such as pathways in Qlucore Omics Explorer. The Qlucore GSEA workbench is fully integrated in Qlucore Omics Explorer. It is easy to use and with fast ranking of provided pathways (lists of genes), making it ideal for biologists. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Hands-on Training Advanced (Step 2)
Prerequisite: Qlucore Omics Explorer user or attended Basic training course. This online hands-on training includes hands-on exercises GSEA, Data Exploration, How to work with eliminated factors, Create log points, Download of data from GEO etc. Course material and a training license will be sent out prior to the course. Training begins at 2 pm CET (1 pm GMT, 8 am EST).
Webinar: Create plots easily
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. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: Qlucore Introduction
Learn how to easy analyze and visualize your data using Qlucore Omics Explorer. Qlucore is a program aimed for biologists as well as bioinformaticians. This webinar is an introduction on how easy it can be to present data with plots such us PCA, heatmaps, box plots and many more to get the most out of our data. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Hands-on Training Basic (Step 1)
Free online hands-on training. Learn how to easily analyze your experiment data yourself using Qlucore Omics Explorer. 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. Training begins at 10 am CET (9 am GMT).
Webinar: Pathway analysis with Gene Set Enrichment Analysis (GSEA)
Learn how to use Gene Set Enrichment Analysis (GSEA) to analyze datasets using functional information such as pathways in Qlucore Omics Explorer. The Qlucore GSEA workbench is fully integrated in Qlucore Omics Explorer. It is easy to use and with fast ranking of provided pathways (lists of genes), making it ideal for biologists. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Hands-on Training Basic (Step 1)
Free online hands-on training. Learn how to easily analyze your experiment data yourself using Qlucore Omics Explorer. 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. Training begins at 1 PM EST.
Webinar: Proteomics and Metabolomics data analysis
In this webinar we will show examples on how to work with Proteomics as well as Metabolomics data. We will use different public datasets and visualize and interactively work with data using various plot types, like PCA, Heatmaps, t-SNE, Volcano and Box plots. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: RNA-seq and Single cell data analysis
In this webinar we will show examples on how to work with RNA-seq as well as Single cell data. We will use different public datasets from various sources like 10X Genomics, TCGA and GEO. We will visualize data and interactively work with data using various plot types, like PCA, Heatmaps, t-SNE, Volcano and Box plots. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: Make new discoveries in your data
The webinar shows how you can interactively work with your data to make new discoveries using PCA plots with networks, heatmaps with hierarchical clustering, kmeans++ clustering and t-SNE plots. We also cover how you can filter using variance filtering, elimination of batch effects and removal of influence from covariates. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: Qlucore Introduction
Learn how to easy analyze and visualize your data using Qlucore Omics Explorer. Qlucore is a program aimed for biologists as well as bioinformaticians. This webinar is an introduction on how easy it can be to present data with plots such us PCA, heatmaps, box plots and many more to get the most out of our data. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: Create plots easily
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 transcriptomics and proteomics data. Webinar begins at 10 am CET (9 pm GMT).
Webinar: Pathway analysis with Gene Set Enrichment Analysis (GSEA)
Learn how to use Gene Set Enrichment Analysis (GSEA) to analyze datasets using functional information such as pathways in Qlucore Omics Explorer. The Qlucore GSEA workbench is fully integrated in Qlucore Omics Explorer. It is easy to use and with fast ranking of provided pathways (lists of genes), making it ideal for biologists. Webinar begins at 1 PM EST.
Webinar: Correlation - how to identify and visualize correlated variables
In this webinar we will focus on how to work with variable correlation and some features related to that. E.g. finding correlated variables, visualizations in variable PCA plots, scatter plots, line plots, searching for variables and creating lists from heatmaps, PCA plots etc. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Hands-on Training Basic (Step 1)
Free online hands-on training. Learn how to easily analyze your experiment data yourself using Qlucore Omics Explorer. 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. Training begins at 1 PM EST.
Webinar: Pathway analysis with Gene Set Enrichment Analysis (GSEA)
Learn how to use Gene Set Enrichment Analysis (GSEA) to analyze datasets using functional information such as pathways in Qlucore Omics Explorer. The Qlucore GSEA workbench is fully integrated in Qlucore Omics Explorer. It is easy to use and with fast ranking of provided pathways (lists of genes), making it ideal for biologists. Webinar begins at 1 PM EST.