Dear all,

We are excited to announce our upcoming course on Network Analysis in
Systems Biology with R/Bioconductor (2nd edition), scheduled for June
3-6, 2024.

Course website:
https://www.physalia-courses.org/courses-workshops/network-in-systems-biology/

In this course, participants will delve into the inference and analysis
of biological networks from RNA-seq data using R and Bioconductor
packages. Topics covered include data structures for quantitative data
and graphs, statistical methods for network inference, functional analyses
of biological networks, and network comparison. By the end of the course,
attendees will be proficient in inferring and analyzing gene coexpression
networks (GCNs) and gene regulatory networks (GRNs), comparing networks,
and integrating GCNs with genetic markers to prioritize candidate genes
associated with traits.

This course is designed for researchers and students interested in
utilizing R and Bioconductor for systems biology projects. While
familiarity with RNA-seq and core Bioconductor data structures (e.g.,
SummarizedExperiment and GRanges) is beneficial, it is not essential,
as these will be covered during the sessions. Participants should have
a working knowledge of R, including R syntax, commonly used functions,
and basic data structures such as data frames, vectors, and matrices,
along with their manipulation.

For the full list of our courses and workshops, please visit
https://www.physalia-courses.org/courses-workshops/

For any questions, feel free to send an email to us at
info@physalia-courses.org

Best regards,
 
Carlo
 
 
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846

"info@physalia-courses.org" <info@physalia-courses.org>

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