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MOLE: A data management application based on a protein production data model

DOI: 10.1002/prot.20291 DOI Help

Authors: Chris Morris (Daresbury Laboratory, U.K.) , Peter Wood (Daresbury Laboratory, U.K.) , Susanne L. Griffiths (University of York, U.K.) , Keith S. Wilson (University of York, U.K.) , Alun W. Ashton (Diamond Light Source)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Proteins: Structure, Function, And Bioinformatics , VOL 58 (2) , PAGES 285 - 289

State: Published (Approved)
Published: February 2005

Abstract: MOLE (mining, organizing, and logging experiments) has been developed to meet the growing data management and target tracking needs of molecular biologists and protein crystallographers. The prototype reported here will become a Laboratory Information Management System (LIMS) to help protein scientists manage the large amounts of laboratory data being generated due to the acceleration in proteome research and will furthermore facilitate collaborations between groups based at different sites. To achieve this, MOLE is based on the data model for protein production devised at the European Bioinformatics Institute (Pajon A, et al., Proteins in press). (C) 2004 Wiley-Liss, Inc.

Journal Keywords: Protein; Lims; Data Model

Subject Areas: Biology and Bio-materials

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Added On: 10/11/2010 08:51

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