Literature DB >> 15988049

Storage and retrieval of microarray data and open source microarray database software.

Gavin Sherlock1, Catherine A Ball.   

Abstract

Microarray technology has been widely adopted by researchers who use both home-made microarrays and microarrays purchased from commercial vendors. Associated with the adoption of this technology has been a deluge of complex data, both from the microarrays themselves, and also in the form of associated meta data, such as gene annotation information, the properties and treatment of biological samples, and the data transformation and analysis steps taken downstream. In addition, standards for annotation and data exchange have been proposed, and are now being adopted by journals and funding agencies alike. The coupling of large quantities of complex data with extensive and complex standards require all but the most small-scale of microarray users to have access to a robust and scaleable database with various tools. In this review, we discuss some of the desirable properties of such a database, and look at the features of several freely available alternatives.

Mesh:

Year:  2005        PMID: 15988049     DOI: 10.1385/MB:30:3:239

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  27 in total

1.  Analysis of gene expression data using self-organizing maps.

Authors:  P Törönen; M Kolehmainen; G Wong; E Castrén
Journal:  FEBS Lett       Date:  1999-05-21       Impact factor: 4.124

2.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

3.  A comparison of microarray databases.

Authors:  M Gardiner-Garden; T G Littlejohn
Journal:  Brief Bioinform       Date:  2001-05       Impact factor: 11.622

4.  RAD and the RAD Study-Annotator: an approach to collection, organization and exchange of all relevant information for high-throughput gene expression studies.

Authors:  E Manduchi; G R Grant; H He; J Liu; M D Mailman; A D Pizarro; P L Whetzel; C J Stoeckert
Journal:  Bioinformatics       Date:  2004-01-22       Impact factor: 6.937

5.  An open letter on microarray data from the MGED Society.

Authors:  Catherine Ball; Alvis Brazma; Helen Causton; Steve Chervitz; Ron Edgar; Pascal Hingamp; John C Matese; Carl Icahn; Helen Parkinson; John Quackenbush; Martin Ringwald; Susanna-Assunta Sansone; Gavin Sherlock; Paul Spellman; Christian Stoeckert; Yoshio Tateno; Ronald Taylor; Joseph White; Neil Winegarden
Journal:  Microbiology       Date:  2004-11       Impact factor: 2.777

6.  Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.

Authors:  M Schena; D Shalon; R Heller; A Chai; P O Brown; R W Davis
Journal:  Proc Natl Acad Sci U S A       Date:  1996-10-01       Impact factor: 11.205

7.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

8.  BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data.

Authors:  Lao H Saal; Carl Troein; Johan Vallon-Christersson; Sofia Gruvberger; Ake Borg; Carsten Peterson
Journal:  Genome Biol       Date:  2002-07-15       Impact factor: 13.583

9.  GECKO: a complete large-scale gene expression analysis platform.

Authors:  Joachim Theilhaber; Anatoly Ulyanov; Anish Malanthara; Jack Cole; Dapeng Xu; Robert Nahf; Michael Heuer; Christoph Brockel; Steven Bushnell
Journal:  BMC Bioinformatics       Date:  2004-12-10       Impact factor: 3.169

10.  Design and implementation of microarray gene expression markup language (MAGE-ML).

Authors:  Paul T Spellman; Michael Miller; Jason Stewart; Charles Troup; Ugis Sarkans; Steve Chervitz; Derek Bernhart; Gavin Sherlock; Catherine Ball; Marc Lepage; Marcin Swiatek; W L Marks; Jason Goncalves; Scott Markel; Daniel Iordan; Mohammadreza Shojatalab; Angel Pizarro; Joe White; Robert Hubley; Eric Deutsch; Martin Senger; Bruce J Aronow; Alan Robinson; Doug Bassett; Christian J Stoeckert; Alvis Brazma
Journal:  Genome Biol       Date:  2002-08-23       Impact factor: 13.583

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  4 in total

Review 1.  Microarray technology in obstetrics and gynecology: a guide for clinicians.

Authors:  Kenneth Ward
Journal:  Am J Obstet Gynecol       Date:  2006-04-17       Impact factor: 8.661

2.  Expression and prognostic value of E2F3 transcription factor in non-small cell lung cancer.

Authors:  Lei Wu; Shan Wan; Jinfan Li; Yiying Xu; Xiaoli Lou; Maomin Sun; Shouli Wang
Journal:  Oncol Lett       Date:  2021-03-22       Impact factor: 2.967

Review 3.  From bench to bedside: current and future applications of molecular profiling in renal cell carcinoma.

Authors:  Androu Arsanious; Georg A Bjarnason; George M Yousef
Journal:  Mol Cancer       Date:  2009-03-17       Impact factor: 27.401

4.  The PhenoGen informatics website: tools for analyses of complex traits.

Authors:  Sanjiv V Bhave; Cheryl Hornbaker; Tzu L Phang; Laura Saba; Razvan Lapadat; Katherina Kechris; Jeanette Gaydos; Daniel McGoldrick; Andrew Dolbey; Sonia Leach; Brian Soriano; Allison Ellington; Eric Ellington; Kendra Jones; Jonathan Mangion; John K Belknap; Robert W Williams; Lawrence E Hunter; Paula L Hoffman; Boris Tabakoff
Journal:  BMC Genet       Date:  2007-08-30       Impact factor: 2.797

  4 in total

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