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Design of a data model for developing laboratory information management and analysis systems for protein production
Author(s) -
Pajon Anne,
Ionides John,
Diprose Jon,
Fillon Joël,
Fogh Rasmus,
Ashton Alun W.,
Berman Helen,
Boucher Wayne,
Cygler Miroslaw,
Deleury Emeline,
Esnouf Robert,
Janin Joël,
Kim Rosalind,
Krimm Isabelle,
Lawson Catherine L.,
Oeuillet Eric,
Poupon Anne,
Raymond Stéphane,
Stevens Tim,
van Tilbeurgh Herman,
Westbrook John,
Wood Peter,
Ulrich Eldon,
Vranken Wim,
Xueli Li,
Laue Ernest,
Stuart David I.,
Henrick Kim
Publication year - 2004
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.20303
Subject(s) - production (economics) , computer science , systems engineering , manufacturing engineering , engineering , economics , macroeconomics
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. Proteins 2005. © 2004 Wiley‐Liss, Inc.