Discovery and Research

Exploring Single-Cell Transcriptomes Using Bioinformatics Solutions from QIAGEN - Part 2

851 views
July 05, 2019
Cells – the basic building blocks of organisms – are each quite unique. Single-cell RNA sequencing has emerged as an important technology to dissect cellular heterogeneity and tissues into cell types and/or cell states, offering enormous de novo discovery potential. 

In this webinar series, you’ll gain an in-depth look at two major bioinformatics solutions from QIAGEN - OmicSoft Array Studio and Ingenuity Pathway Analysis (IPA). Together, both offer a powerful, yet easy to use, solution for the analysis and interpretation of whole transcriptome datasets from single-cell sequencing experiments. Become confident in how to optimize transcriptome data, and how using IPA can help you gain insights into biological signatures—identifying the transcriptional drivers, affected pathways, biological processes, and more. 
 
In part 2, you’ll learn how to interpret and explore the underlying biology, using IPA. Learn how OmicSoft Array Studio can be leveraged by both biologists and bioinformaticians alike to integrate datasets from different platform. 
• Integrate data processed in OmicSoft to analyze disease versus normal gene expression signatures in IPA to pinpoint significant genes 
• Generate hypotheses about novel regulatory networks that suggest drivers of the expression changes observed in the disease state in single cells 
• Gain insights about single cell biology by comparing an analysis in IPA to thousands of additional public datasets which have been curated and processed in OmicSoft

Interested in learning more?

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