Literature DB >> 17143588

Databases of free expression.

John R Walker1, Tim Wiltshire.   

Abstract

The rapid development of microarray technologies has led to a similar progression in gene expression analysis methods, gene expression applications, and gene expression databases. Public gene expression databases enable any researcher to examine expression of their favorite genes across a wide variety of samples, download sample data for development of new analysis methods, or answer broad questions about gene expression regulation, among other applications. A wide variety of public gene expression databases exist, and they vary in their content, analysis capabilities, and ease of use. This review highlights the current features and describes examples of two broad categories of mammalian microarray databases: tissue gene expression databases and data warehouses.

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Year:  2006        PMID: 17143588     DOI: 10.1007/s00335-006-0043-5

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   3.224


  21 in total

1.  READ: RIKEN Expression Array Database.

Authors:  Hidemasa Bono; Takeya Kasukawa; Yoshihide Hayashizaki; Yasushi Okazaki
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  Evaluation of gene expression measurements from commercial microarray platforms.

Authors:  Paul K Tan; Thomas J Downey; Edward L Spitznagel; Pin Xu; Dadin Fu; Dimiter S Dimitrov; Richard A Lempicki; Bruce M Raaka; Margaret C Cam
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

4.  WebQTL: web-based complex trait analysis.

Authors:  Jintao Wang; Robert W Williams; Kenneth F Manly
Journal:  Neuroinformatics       Date:  2003

5.  Systematic identification of human mitochondrial disease genes through integrative genomics.

Authors:  Sarah Calvo; Mohit Jain; Xiaohui Xie; Sunil A Sheth; Betty Chang; Olga A Goldberger; Antonella Spinazzola; Massimo Zeviani; Steven A Carr; Vamsi K Mootha
Journal:  Nat Genet       Date:  2006-04-02       Impact factor: 38.330

6.  Large-scale delineation of secreted protein biomarkers overexpressed in cancer tissue and serum.

Authors:  John B Welsh; Lisa M Sapinoso; Suzanne G Kern; David A Brown; Tao Liu; Asne R Bauskin; Robyn L Ward; Nicholas J Hawkins; David I Quinn; Pamela J Russell; Robert L Sutherland; Samuel N Breit; Christopher A Moskaluk; Henry F Frierson; Garret M Hampton
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-06       Impact factor: 11.205

7.  The Mouse Gene Expression Database (GXD).

Authors:  M Ringwald; J T Eppig; D A Begley; J P Corradi; I J McCright; T F Hayamizu; D P Hill; J A Kadin; J E Richardson
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

8.  A gene atlas of the mouse and human protein-encoding transcriptomes.

Authors:  Andrew I Su; Tim Wiltshire; Serge Batalov; Hilmar Lapp; Keith A Ching; David Block; Jie Zhang; Richard Soden; Mimi Hayakawa; Gabriel Kreiman; Michael P Cooke; John R Walker; John B Hogenesch
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-09       Impact factor: 11.205

9.  Identification of a gene causing human cytochrome c oxidase deficiency by integrative genomics.

Authors:  Vamsi K Mootha; Pierre Lepage; Kathleen Miller; Jakob Bunkenborg; Michael Reich; Majbrit Hjerrild; Terrye Delmonte; Amelie Villeneuve; Robert Sladek; Fenghao Xu; Grant A Mitchell; Charles Morin; Matthias Mann; Thomas J Hudson; Brian Robinson; John D Rioux; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-14       Impact factor: 11.205

10.  Searching QTL by gene expression: analysis of diabesity.

Authors:  Aaron C Brown; William I Olver; Charles J Donnelly; Marjorie E May; Jürgen K Naggert; Daniel J Shaffer; Derry C Roopenian
Journal:  BMC Genet       Date:  2005-03-10       Impact factor: 2.797

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  1 in total

Review 1.  Integrating global gene expression analysis and genetics.

Authors:  Charles R Farber; Aldons J Lusis
Journal:  Adv Genet       Date:  2008       Impact factor: 1.944

  1 in total

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