Literature DB >> 15468326

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

Chris Morris1, Peter Wood, Susanne L Griffiths, Keith S Wilson, Alun W Ashton.   

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.

Mesh:

Year:  2005        PMID: 15468326     DOI: 10.1002/prot.20291

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  5 in total

1.  Automation in biological crystallization.

Authors:  Patrick Shaw Stewart; Jochen Mueller-Dieckmann
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2014-05-28       Impact factor: 1.056

2.  Recording information on protein complexes in an information management system.

Authors:  Marc Savitsky; Jonathan M Diprose; Chris Morris; Susanne L Griffiths; Edward Daniel; Bill Lin; Susan Daenke; Benjamin Bishop; Christian Siebold; Keith S Wilson; Richard Blake; David I Stuart; Robert M Esnouf
Journal:  J Struct Biol       Date:  2011-05-14       Impact factor: 2.867

3.  The Protein Information Management System (PiMS): a generic tool for any structural biology research laboratory.

Authors:  Chris Morris; Anne Pajon; Susanne L Griffiths; Ed Daniel; Marc Savitsky; Bill Lin; Jonathan M Diprose; Alan Wilter da Silva; Katya Pilicheva; Peter Troshin; Johannes van Niekerk; Neil Isaacs; James Naismith; Colin Nave; Richard Blake; Keith S Wilson; David I Stuart; Kim Henrick; Robert M Esnouf
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2011-03-18

4.  E-MSD: improving data deposition and structure quality.

Authors:  M Tagari; J Tate; G J Swaminathan; R Newman; A Naim; W Vranken; A Kapopoulou; A Hussain; J Fillon; K Henrick; S Velankar
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

5.  MACSIMS: multiple alignment of complete sequences information management system.

Authors:  Julie D Thompson; Arnaud Muller; Andrew Waterhouse; Jim Procter; Geoffrey J Barton; Frédéric Plewniak; Olivier Poch
Journal:  BMC Bioinformatics       Date:  2006-06-23       Impact factor: 3.169

  5 in total

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