Design of a data model for developing laboratory information management and analysis systems for protein production

Anne Pajon, John Ionides, Jon Diprose, Joël Fillon, Rasmus Fogh, Alun W Ashton, Helen Berman, Wayne Boucher, Miroslaw Cygler, Emeline Deleury, Robert Esnouf, Joël Janin, Rosalind Kim, Isabelle Krimm, Catherine L Lawson, Eric Oeuillet, Anne Poupon, Stéphane Raymond, Tim Stevens, Herman van TilbeurghJohn Westbrook, Peter Wood, Eldon Ulrich, Wim Vranken, Li Xueli, Ernest Laue, David I Stuart, Kim Henrick

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Data management has emerged as one of the central issues in the high-throughput processes of taking a protein target sequence through to a protein sample. To simplify this task, and following extensive consultation with the international structural genomics community, we describe here a model of the data related to protein production. The model is suitable for both large and small facilities for use in tracking samples, experiments, and results through the many procedures involved. The model is described in Unified Modeling Language (UML). In addition, we present relational database schemas derived from the UML. These relational schemas are already in use in a number of data management projects.

Original languageEnglish
Pages (from-to)278-284
Number of pages7
JournalProteins
Volume58
Issue number2
DOIs
Publication statusPublished - 1 Feb 2005

Keywords

  • Algorithms
  • Amino Acid Sequence
  • Data Interpretation, Statistical
  • Databases, Protein
  • Genomics
  • Internet
  • Models, Biological
  • Programming Languages
  • Protein Engineering
  • Proteins
  • Proteomics
  • Research
  • Software
  • Software Design
  • Systems Biology
  • Unified Medical Language System

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