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Watch previous webinars here

25
Nov

Webinar: Correlation - how to identify and visualize correlated variables

16:00 - 16:30
GMT+01:00, Sweden (Stockholm)

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.

1
Dec

Webinar: Qlucore Introduction

16:00 - 16:30
GMT+01:00, Sweden (Stockholm)

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.

3
Dec

Hands-on Training Basic (Step 1) US

16:00 - 18:00
GMT-05:00, Eastern (New York)

Time zone: Eastern Standard Time (EST). 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.

8
Dec

Hands-on Training Basic (Step 1)

14:00 - 16:30
GMT+01:00, Sweden (Stockholm)

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.

9
Dec

Webinar - Proteomics, RNA-seq and Single cell data analysis

16:00 - 16:30
GMT+01:00, Sweden (Stockholm)

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.

10
Dec

Webinar - Pathway analysis with Gene Set Enrichment Analysis (GSEA)

16:00 - 16:30
GMT+01:00, Sweden (Stockholm)

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.

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