WebArrayDB: cross-platform microarray data analysis and public data repository
Open Access
- 14 July 2009
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 25 (18) , 2425-2429
Abstract
Motivation: Cross-platform microarray analysis is an increasingly important research tool, but researchers still lack open source tools for storing, integrating and analyzing large amounts of microarray data obtained from different array platforms. Results: An open source integrated microarray database and analysis suite, WebArrayDB (http://www.webarraydb.org), has been developed that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion, and allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters. Availability: The software package is available for the use on a public web server (http://www.webarraydb.org) or can be downloaded. Contact:xqxia70@gmail.com; mcclelland.michael@gmail.com; yipengw@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.Keywords
This publication has 30 references indexed in Scilit:
- An integrated cross-platform prognosis study on neuroblastoma patientsGenomics, 2008
- GEPAS, a web-based tool for microarray data analysis and interpretationNucleic Acids Research, 2008
- Simple Parallel Statistical Computing in RJournal of Computational and Graphical Statistics, 2007
- Cross platform microarray analysis for robust identification of differentially expressed genesBMC Bioinformatics, 2007
- The Stanford Microarray Database: implementation of new analysis tools and open source release of softwareNucleic Acids Research, 2006
- ArrayExpress--a public database of microarray experiments and gene expression profilesNucleic Acids Research, 2006
- Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray dataBioinformatics, 2006
- Use of within-array replicate spots for assessing differential expression in microarray experimentsBioinformatics, 2005
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray ExperimentsStatistical Applications in Genetics and Molecular Biology, 2004
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001