Inferring Co-Expressing Genes and Regulatory Networks from RNA-Seq Data (Webinar)
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Thursday, 30 July 2020 @ 10:00
End: Thursday, 30 July 2020 @ 12:00
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3ARTarget audience:
- This webinar is suitable for students and early career researchers with interest in Genomics
- Graduate students
- Postdocs and Staff members from the University of Cambridge
- Institutions and other external Institutions or individuals.
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.
One of the most important tasks of systems biology is to create explanatory and predictive models of complex biological systems. Availability of gene expression data in different conditions has paved the way for reconstructing direct or indirect regulatory connections between various genes and gene products. Most often, we are not interested in single interactions between gene products; instead, we try to reconstruct networks that provide insights into the investigated biological processes.
This webinar will introduce the importance and applications of Gene Expression Datasets (Microarrays and RNA-Seq), followed by methods of extraction and analysis of Co-Expression Networks and Transcriptional Regulatory Networks from these datasets. The webinar will focus on the pros and cons of Weighted and Unweighted Networks, citing examples to aid decisions about which networks to use and when.
The webinar will be presented in the form of a lecture and tutorial with screenshots that enable listeners to emulate the protocols in R. Note that this is a webinar and not a coding exercise. Links to further reading and practice will be shared.
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