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VERSION:2.0
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DTSTAMP:20260716T000014Z
UID:29c74e7b-e8b9-43c7-b57c-b4d2a8bf5115
DTSTART:20220120T090000Z
DTEND:20220120T170000Z
DESCRIPTION:Reconstruction of signaling networks has been widely utilised i
 n the past\, for example to understand aberrations in diseased cells\, or 
 to figure out mechanism of drug actions. With the development of high thro
 ughput data platforms\, it is possible to infer these networks from the da
 ta alone\, alternatively we could reuse existing knowledge about possible 
 mechanisms reported in literature and interaction databases. The prior kno
 wledge network (PKN) describes the possible interactions among the signali
 ng molecules and connects the perturbations to the measured molecular mark
 ers. Different formalisms build different types of models from the PKN\, r
 anging from boolean networks to differential equations. It is then possibl
 e to train the models to the measured data using optimisation methods. [C
 ellNOpt](https://saezlab.github.io/CellNOptR/) uses different logic forma
 lisms\, which include boolean\, fuzzy\, probabilistic\, and ordinary diffe
 rential equations models which are trained against (phosphoproteomic) data
 . On the other hand\, similar approaches are used to extract mechanistic i
 nsights from multi-omics data using CARNIVAL to train signaling networks f
 rom gene expression data using integer linear programming to infer causal 
 paths linking signaling drives with downstream transcripts’ levels. In t
 his webinar\, we introduce CellNOpt and CARNIVAL and show how each can be 
 used to build models of signalling networks.\n\n### About the speaker\n\n[
 Dr Pablo Rodriguez Mier](https://saezlab.org/person/pablo-rodriguez-mier/)
  is a Postdoctoral Researcher at Julio Saez-Rodriguez’s group at the [
 Joint Research-Center for Computational Biomedicine](http://www.medizinisc
 he-fakultaet-hd.uni-heidelberg.de/Institute-for-Computational-Biomedicine.
 111959.0.html). He has a background in Computer Science and Artificial Int
 elligence. Prior to this\, he was a Postdoctoral Researcher at the Food To
 xicology Research Center of the French National Institute for Agricultural
  Research (INRAE) in Toulouse\, in a project funded by the French National
  Cancer Institute (INCA). He was in charge of developing new computational
  methods to understand metabolic dysregulations in cancer due to mutations
  in the p53 gene and also in key target genes\, combining previous biologi
 cal knowledge with experimental data.
LOCATION:\, 
SUMMARY:Logic modelling of signalling networks – CellNOpt and CARNIVAL
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/logic-modelling-signall
 ing-networks-cellnopt-and-carnival
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