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Hands-on Training Basic Europe (Step 1)

2020-06-09 14:00 – 2020-06-09 16:30

Time zone: Central European Time. 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.

Webinar - Introduction of Qlucore Omics Explorer 3.6

2020-06-10 16:00 – 2020-06-10 16:30

In Qlucore Omics Explorer 3.6 we are adding new features in several areas to make analysis easier and faster. Examples are: The new Fusion Gene Workbench, direct import of 10X Genomics single cell RNA-seq data, Hazard-Ratios for survival analysis and an updated data import Wizard that now handle count matrix data import and normalization.

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

2020-06-11 14:00 – 2020-06-11 15:00

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 – Genomic data analysis

2020-06-11 15:15 – 2020-06-11 15:45

In this webinar we will show how to work with the NGS Project Manager and the integrated Genome browser. We will look at Variant Calling, visualizing samples and reference information (using project info in BAM, vcf, gtf and bed files), filtering based on read coverage, genomic regions, SNVs and also visualizing Gene Fusion information.

Webinar - Easy access to different type of public data

2020-06-16 16:00 – 2020-06-16 16:30

In this webinar we will show the inbuilt methods for easy access and download to public data. The program offers several ways to get access to data easily, such as the direct download functionality for Gene Expression Omnibus (GEO) data sets as well as the TCGA download Template (script) where you select to download any of 27 different TCGA cohorts.

Hands-on Training Basic US (Step 1)

2020-06-23 14:00 – 2020-06-23 16:00

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.

Hands-on Training Basic Europe (Step 1)

2020-06-24 14:00 – 2020-06-24 16:30

Time zone: Central European Time. 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.

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

2020-06-25 14:00 – 2020-06-25 15:00

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 – Genomic data analysis

2020-06-25 15:15 – 2020-06-25 15:45

In this webinar we will show how to work with the NGS Project Manager and the integrated Genome browser. We will look at Variant Calling, visualizing samples and reference information (using project info in BAM, vcf, gtf and bed files), filtering based on read coverage, genomic regions, SNVs and also visualizing Gene Fusion information.

Hands-on Training Advanced Europe (Step 2)

2020-06-30 14:00 – 2020-06-30 16:30

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.

Hands-on Training Advanced US (Step 2)

2020-06-30 15:00 – 2020-06-30 17:00

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.

Hands-on Training Basic Europe (Step 1)

2020-07-07 14:00 – 2020-07-07 16:30

Time zone: Central European Time. 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.

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

2020-07-08 16:00 – 2020-07-08 16:30

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 - Proteomics, RNA-seq and Single cell data analysis

2020-07-09 14:00 – 2020-07-09 15:00

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.

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