Discovery and Research
Exploring Single-Cell Transcriptomes Using Bioinformatics Solutions from QIAGEN - Part 1
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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.
Interested in learning more?
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