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Many QIAGEN Ingenuity Pathway Analysis (IPA) users have expressed strong interest in taking advantage of public single-cell expression data. Such data is readily available and easily accessible in IPA. We are hosting a 1hr training focused on some common use cases related to this topic.

You'll learn to:

• Easily locate single-cell studies, samples or cell types of interest

• Study pathways and networks pertaining to such projects to explore biological and cellular mechanisms

• Investigate sample- and cell-level gene expression for biomarker investigation

In this 90-minute video, users will learn how to discover and validate biomarkers, key regulators and targets through harnessing uniformly-processed public data from sources such as GEO, SRA, cancer collections (TCGA, CCLE etc.), normal tissue/cell type collections (GTEx, HPA etc.) and more using QIAGEN Omicsoft Lands.

Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.

Click here to learn more.

In this 90-minute training, we will discuss how to discover and validate biomarkers as well as drug targets and key genes using public oncological data from GEO, TCGA, CCLE and other sources. To do this, we will use QIAGEN Omicsoft OncoLand, QIAGEN Ingenuity Pathway Analysis (IPA) and the OmicSoft Land Explorer web interface.

Specifically, for conditions of interest (diseases, cell lines, treatments etc.), we will discuss how to:

Speaker: Sumana Chintalapudi, Ph.D., Field Application Scientist, QIAGEN Digital Insights

QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) provide a powerful resource for exploring curated pre-analyzed public single-cell RNA-seq studies and providing downstream biological insights for these data. In this training, we will review how OmicSoft Lands allows for the interrogation of identified cell types within public single-cell datasets of interest and subsequent exploration of their associated gene signatures. The biological context of these signatures can then be explored within QIAGEN IPA, identifying key pathways and their associated activity, as well as predicting regulatory molecules that could function as biomarkers or drug targets. In addition, the biological signatures found in relevant cell types can be evaluated through comparison with other pre-analyzed single-cell and bulk RNA-seq studies to explore the conservation of these biological signals.

In this webinar you will learn how to:

In this 90-minute training, users will learn how to do drug treatment, toxicology and target safety assessment related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.

Using public data from GTEx (normal tissue), GEO, cancer collections and more, attendees will learn how to use Omicsoft Lands to:

Using findings from peer-reviewed publications and other sources, attendees will learn how to use QIAGEN IPA to:

In this 90-minute training, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand. QIAGEN OmicSoft Single Cell Land will also be discussed, focusing on public single-cell data.

Key focus will be on Biomarker discovery with QIAGEN OmicSoft OncoLand leveraging public oncology data from GEO, TCGA and other collections to:

• Discover and validate biomarker expression in diseases, disease subtypes, treatments, cell types, etc.

This training is designed for biologists, bioinformaticians, and data scientists.