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DTSTAMP:20260407T181529Z
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DTSTART:20241014T150000Z
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DESCRIPTION:You are invited to join this webinar which is part of the 202
 3-SYBEL Commissioned Service presented by the ELIXIR Systems Biology Com
 munity. \n\n\n\nWelcome and overview of the ELIXIR Systems Biology Commun
 ity \n\nVitor Martins dos Santos (Professor Biomanufacturing &amp\; Digit
 al Twins\, Wageningen UR (WUR)\, The Netherlands) \n\n\nELIXIR Communitie
 s are groups of experts across ELIXIR Nodes and beyond that represent a sc
 ientific or technological theme which drives the development of standards\
 , services and/or training in and across services offered by ELIXIR. They 
 connect the infrastructure services to research domains. \n\n \n\nAn ide
 a for digital Twin for a Bacterial Strain\n\nAndrzej Tkacz (Centre for Ma
 rine Sciences\, University of Algarve) \n\nThis project aims to create a 
 digital twin for the bacterial strain Rhizobium leguminosarum 3841 by int
 egrating its phenotypic and genetic information\, starting with the wild-t
 ype version. The approach involves manual curation of a comprehensive data
 base that includes experimental procedures\, detailed growth conditions\, 
 measurement methods\, and contextual metadata\, such as the rationale behi
 nd experiments and quality of research publications.\n\nThe curated data w
 ill serve as a foundation for machine learning models to identify patterns
  between growth conditions and phenotypic observations\, detect anomalous 
 results\, predict phenotypes under untested conditions\, and discover nove
 l associations between environmental factors and phenotypic traits. With o
 ver 100 relevant publications\, this strain offers diverse phenotypic data
 \, including growth rates\, exopolysaccharide production\, transport activ
 ities\, colony morphology\, plant assays\, and survival metrics.\n\nThis p
 roject’s aim is to gather all experimental data into a computer-readable
  format but also to serve as a library exercise to systematically organize
  and catalog scientific findings. The project has the potential to be exte
 nded to include genotypic and mutant data (both genetic and phenotypic) fo
 r R. leguminosarum 3841 and to incorporate closely related rhizobia strai
 ns. Leveraging over a decade of personal hands-on experience with R. legum
 inosarum 3841\, this project will produce a detailed digital model to adva
 nce predictive microbiology and improve our understanding of rhizobial phy
 siology.\n\nThe recording of this event will be uploaded to the ELIXIR Eur
 ope Youtube channel\n\n 
SUMMARY:SYBEL 2023 Webinar (Systems Biology)
URL;VALUE=URI:https://www.elixir-europe.org/events/sybel-2023-webinar-syste
 ms-biology-0
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