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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: Statistics and Biomarker Workbench
In this webinar we will present new statistical methods and options that have been added to the statistics dialogue. We will also show how the new Biomarker Workbench makes it possible to run many tests in batch mode and quickly help to identify the most interesting results. Response variables makes it possible to quickly identify correlations between sample annotations, very useful if you have clinical annotations that you would like to investigate. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).
Webinar: The new Genome Browser with support for ChIP-seq and ATAC-seq data
In this webinar we will show you the improved interface of the Genome browser and how you can work with more data types such as ChIP-seq and ATAC-seq data including peak detection and quantification of peaks. A data matrix of peak data is generated and can be used for visualization and statistical analyses in the standard plots. 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 transriptomics and proteomics 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 2 pm CET (1 pm GMT).
Webinar: Import and analyze public data from SRA, GEO and TCGA in Qlucore Omics Explorer
Many new studies include RNA sequencing data. In this webinar we will go through the process of downloading and importing SRA data using the SRA toolkit, how to use an aligner to convert fastq files into BAM files and then how to import and normalize the BAM files in Omics Explorer. We will also show how you can download GEO soft files, TCGA mRNA data from GDAC and import 10X Genomics Cellranger data. 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).
Qlucore Omics Explorer 3.7 introduction
In this webinar you will get an overview of the new features in the new version 3.7, including statistics enhancement, the new Biomarker Workbench for statistical batch execution, an improved Genome Browser now supporting ChIP-seq and ATAC-seq as an addition to already existing support for RNA-seq & DNA-seq, and some plot additions. Webinar begins at 4 pm CET (3 pm GMT, 10 am 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: 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 2 pm CET (1 pm GMT).
Webinar: Statistics and Biomarker Workbench
In this webinar we will present new statistical methods and options that have been added to the statistics dialogue. We will also show how the new Biomarker Workbench makes it possible to run many tests in batch mode and quickly help to identify the most interesting results. Response variables makes it possible to quickly identify correlations between sample annotations, very useful if you have clinical annotations that you would like to investigate. 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: The new Genome Browser with support for ChIP-seq and ATAC-seq data
In this webinar we will show you the improved interface of the Genome browser and how you can work with more data types such as ChIP-seq and ATAC-seq data including peak detection and quantification of peaks. A data matrix of peak data is generated and can be used for visualization and statistical analyses in the standard plots. Webinar begins at 4 pm CET (3 pm GMT, 10 am EST).