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VERSION:2.0
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DTSTAMP:20260704T143604Z
UID:ca931cbd-a355-4588-97f3-a740ef6219f3
DTSTART:20221115T090000Z
DTEND:20221115T170000Z
DESCRIPTION:Constraint-based reconstruction and analysis (COBRA) refers to 
 a vast collection of methods that build and scrutinise large metabolic net
 works\, traditionally using the methodology of linear optimization. Many c
 urrent analysis methods work with models that are personalised or customis
 ed to reflect genomic\, proteomic and other measurements. At the same time
 \, there is a natural need to simulate more complex phenomena that emerge 
 from combinations of many individual models\, such as multi-organ and mult
 i-organism networks. The complexity of the computations that need to be or
 ganised to run such simulations naturally grows\, up to a point where the 
 analysis may become infeasible. \n\n\n\nIn this course we will introduce 
 COBREXA.jl\, a toolkit for working with large constraint-based metabolic m
 odels and running very large parallel analysis tasks on these models. Its 
 main purpose is to make the COBRA methods scale to problem sizes that requ
 ire the use of large computer clusters and high performance computing (HPC
 ). [Visit COBREXA.jl website to find more information and guides](https://
 lcsb-biocore.github.io/COBREXA.jl/stable/).\n\n\n\nThe course will combine
  lectures and hands-on exercises using several new design patterns impleme
 nted in COBREXA.jl to organise many different model combinations\, constra
 ints\, modifications and personalizations in a systematic way\, allowing s
 hort and concise implementations of extremely complex\, huge-scale analyse
 s.
SUMMARY:Systematising complex and combined metabolic analyses with COBREXA.
 jl
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/systematising-complex-a
 nd-combined-metabolic-analyses-cobrexajl
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