YMD: a microarray database for large-scale gene expression analysis

The use of microarray technology to perform parallel analysis of the expression pattern of a large number of genes in a single experiment has created a new frontier of medical research. The vast amount of gene expression data generated from multiple microarray experiments requires a robust database system that allows efficient data storage, retrieval, secure access, data dissemination, and integrated data analyses. To address the growing needs of microarray researchers at Yale and their collaborators, we have built the Yale Microarray Database (YMD). YMD is Web-accessible with the following features: (i) a Web program that tracks DNA samples between source plates and arrays, (ii) the capability of finding common genes/clones across different array platforms, (iii) an image file server, (iv) laboratory-based user management and access privileges, (v) project management, (vi) template data entry, (vii) linking gene expression data to annotation databases for functional analysis. YMD is currently being used on a pilot basis by several laboratories for different organisms and array platforms.

[1]  G. Pertea,et al.  RESOURCERER: a database for annotating and linking microarray resources within and across species , 2001, Genome Biology.

[2]  Margaret Gardiner-Garden,et al.  A Comparison of Microarray Databases , 2001, Briefings Bioinform..

[3]  G. Church,et al.  Systematic management and analysis of yeast gene expression data. , 2000, Genome research.

[4]  Val Tannen,et al.  K2/Kleisli and GUS: Experiments in integrated access to genomic data sources , 2001, IBM Syst. J..

[5]  Daniel Lee,et al.  The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic species , 2001, Nucleic Acids Res..

[6]  David Botstein,et al.  The Stanford Microarray Database , 2001, Nucleic Acids Res..

[7]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[8]  Stefan Joos,et al.  Data Management and Analysis for Gene Expression Array , 2003 .

[9]  M. Bittner,et al.  Data management and analysis for gene expression arrays , 1998, Nature Genetics.

[10]  Luis N. Marenco,et al.  Reengineering a database for clinical trials management: lessons for system architects. , 2000, Controlled clinical trials.

[11]  Jonathan Pevsner,et al.  DRAGON: Database Referencing of Array Genes Online , 2000, Bioinform..

[12]  Jonathan Crabtree,et al.  A relational schema for both array-based and SAGE gene expression experiments , 2001, Bioinform..

[13]  M. Gerstein Integrative database analysis in structural genomics , 2000, Nature Structural Biology.

[14]  T. Poggio,et al.  Prediction of central nervous system embryonal tumour outcome based on gene expression , 2002, Nature.