---
res:
  bibo_abstract:
  - For the production of biopharmaceuticals a seed train is required to generate
    an adequate number of cells for inoculation of the production bioreactor. This
    seed train is time- and cost-intensive but offers potential for optimization.
    A method and a protocol are described for the seed train mapping, directed modeling
    without major effort, and its optimization regarding selected optimization criteria
    such as optimal points in time for cell passaging. Furthermore, the method can
    also be applied for the set-up of a new seed train, for example for a new cell
    line. Although the chapter is directed towards suspension cell lines, the method
    is also generally applicable, e.g. for adherent cell lines.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Björn
      foaf_name: Frahm, Björn
      foaf_surname: Frahm
  bibo_doi: 10.1007/978-1-62703-733-4_22
  bibo_volume: 1104
  dct_date: 2013^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1064-3745
  - http://id.crossref.org/issn/1940-6029
  - http://id.crossref.org/issn/9781627037327
  dct_language: eng
  dct_publisher: Humana Press@
  dct_subject:
  - Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach
    Bioinformatics Computational biotechnology Suspension Production
  dct_title: Seed Train Optimization for Cell Culture@
...