Literature DB >> 14618567

GIMS: an integrated data storage and analysis environment for genomic and functional data.

Michael Cornell1, Norman W Paton, Cornelia Hedeler, Paul Kirby, Daniela Delneri, Andrew Hayes, Stephen G Oliver.   

Abstract

Effective analyses in functional genomics require access to many kinds of biological data. For example, the analysis of upregulated genes in a microarray experiment might be aided by information concerning protein interactions or proteins' cellular locations. However, such information is often stored in different formats at different sites, in ways that may not be amenable to integrated analysis. The Genome Information Management System (GIMS) is an object database that integrates genomic data with data on the transcriptome, protein-protein interactions, metabolic pathways and annotations, such as gene ontology terms and identifiers. The resulting system supports the running of analyses over this integrated data resource, and provides comprehensive facilities for handling and interrelating the results of these analyses. GIMS has been used to store Saccharomyces cerevisiae data, and we demonstrate how the integrated storage of diverse types of data can be beneficial for analysis, using combinations of complex queries. As an example, we describe how GIMS has been used to analyse a collection of aryl alcohol dehydrogenase gene deletion mutants. The GIMS database can be accessed remotely using a Java application that can be downloaded from http://img.cs.man.ac.uk/gims. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2003        PMID: 14618567     DOI: 10.1002/yea.1047

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  13 in total

1.  Comparative genome analysis across a kingdom of eukaryotic organisms: specialization and diversification in the fungi.

Authors:  Michael J Cornell; Intikhab Alam; Darren M Soanes; Han Min Wong; Cornelia Hedeler; Norman W Paton; Magnus Rattray; Simon J Hubbard; Nicholas J Talbot; Stephen G Oliver
Journal:  Genome Res       Date:  2007-11-05       Impact factor: 9.043

2.  Identification of novel genes in intestinal tissue that are regulated after infection with an intestinal nematode parasite.

Authors:  R Datta; M L deSchoolmeester; C Hedeler; N W Paton; A M Brass; K J Else
Journal:  Infect Immun       Date:  2005-07       Impact factor: 3.441

3.  TargetMine, an integrated data warehouse for candidate gene prioritisation and target discovery.

Authors:  Yi-An Chen; Lokesh P Tripathi; Kenji Mizuguchi
Journal:  PLoS One       Date:  2011-03-08       Impact factor: 3.240

4.  PHI-base: a new database for pathogen host interactions.

Authors:  Rainer Winnenburg; Thomas K Baldwin; Martin Urban; Chris Rawlings; Jacob Köhler; Kim E Hammond-Kosack
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

5.  Model-driven user interfaces for bioinformatics data resources: regenerating the wheel as an alternative to reinventing it.

Authors:  Kevin Garwood; Christopher Garwood; Cornelia Hedeler; Tony Griffiths; Neil Swainston; Stephen G Oliver; Norman W Paton
Journal:  BMC Bioinformatics       Date:  2006-12-14       Impact factor: 3.169

6.  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

7.  MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics.

Authors:  Irena Spasić; Warwick B Dunn; Giles Velarde; Andy Tseng; Helen Jenkins; Nigel Hardy; Stephen G Oliver; Douglas B Kell
Journal:  BMC Bioinformatics       Date:  2006-06-05       Impact factor: 3.169

8.  PEDRo: a database for storing, searching and disseminating experimental proteomics data.

Authors:  Kevin Garwood; Thomas McLaughlin; Chris Garwood; Scott Joens; Norman Morrison; Christopher F Taylor; Kathleen Carroll; Caroline Evans; Anthony D Whetton; Sarah Hart; David Stead; Zhikang Yin; Alistair J P Brown; Andrew Hesketh; Keith Chater; Lena Hansson; Muriel Mewissen; Peter Ghazal; Julie Howard; Kathryn S Lilley; Simon J Gaskell; Andy Brass; Simon J Hubbard; Stephen G Oliver; Norman W Paton
Journal:  BMC Genomics       Date:  2004-09-17       Impact factor: 3.969

9.  Strategies for reliable exploitation of evolutionary concepts in high throughput biology.

Authors:  Anthony Levasseur; Pierre Pontarotti; Olivier Poch; Julie D Thompson
Journal:  Evol Bioinform Online       Date:  2008-05-08       Impact factor: 1.625

10.  e-Fungi: a data resource for comparative analysis of fungal genomes.

Authors:  Cornelia Hedeler; Han Min Wong; Michael J Cornell; Intikhab Alam; Darren M Soanes; Magnus Rattray; Simon J Hubbard; Nicholas J Talbot; Stephen G Oliver; Norman W Paton
Journal:  BMC Genomics       Date:  2007-11-20       Impact factor: 3.969

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