Discovery and Research

Exploring Single-Cell Transcriptomes Using Bioinformatics Solutions from QIAGEN - Part 1

830 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 1, you will gain an understanding of the best practices on how to import and process raw FASTQ expression data from single-cell experiments. Our scientists will demonstrate how you can run single-cell RNA-seq pipelines within OmicSoft Array Studio to analyze and visualize gene expression differences in different cell types, or within a unique cell type, using OmicSoft Array Studio.

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