Dear all,
there are still a few seats available on the upcoming Physalia online course “Network Analysis in Systems Biology with R/Bioconductor”, taking place 5–8 October.
Course website: https://www.physalia-courses.org/cou...stems-biology/
This hands-on course will introduce methods for inferring, analysing, comparing, and integrating biological networks from RNA-seq data using R and Bioconductor.
Topics include:
Gene co-expression networks (GCNs)
Network comparison and functional analysis
Network-based gene discovery and SNP-to-gene mapping
Gene regulatory networks (GRNs)
Network visualization
The course is aimed at researchers and students in systems biology with a working knowledge of R. Familiarity with RNA-seq and Bioconductor is helpful but not essential.
For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[email protected]
there are still a few seats available on the upcoming Physalia online course “Network Analysis in Systems Biology with R/Bioconductor”, taking place 5–8 October.
Course website: https://www.physalia-courses.org/cou...stems-biology/
This hands-on course will introduce methods for inferring, analysing, comparing, and integrating biological networks from RNA-seq data using R and Bioconductor.
Topics include:
Gene co-expression networks (GCNs)
Network comparison and functional analysis
Network-based gene discovery and SNP-to-gene mapping
Gene regulatory networks (GRNs)
Network visualization
The course is aimed at researchers and students in systems biology with a working knowledge of R. Familiarity with RNA-seq and Bioconductor is helpful but not essential.
For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[email protected]
