Expression Profiler: next generation--an online platform for analysis of microarray data
Open Access
- 1 July 2004
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 32 (Web Server), W465-W470
- https://doi.org/10.1093/nar/gkh470
Abstract
Expression Profiler (EP, http://www.ebi.ac.uk/expressionprofiler) is a web-based platform for microarray gene expression and other functional genomics-related data analysis. The new architecture, Expression Profiler: next generation (EP:NG), modularizes the original design and allows individual analysis-task-related components to be developed by different groups and yet still seamlessly to work together and share the same user interface look and feel. Data analysis components for gene expression data preprocessing, missing value imputation, filtering, clustering methods, visualization, significant gene finding, between group analysis and other statistical components are available from the EBI (European Bioinformatics Institute) web site. The web-based design of Expression Profiler supports data sharing and collaborative analysis in a secure environment. Developed tools are integrated with the microarray gene expression database ArrayExpress and form the exploratory analytical front-end to those data. EP:NG is an open-source project, encouraging broad distribution and further extensions from the scientific community.Keywords
This publication has 7 references indexed in Scilit:
- ArrayExpress--a public repository for microarray gene expression data at the EBINucleic Acids Research, 2003
- Design and implementation of microarray gene expression markup language (MAGE-ML)Genome Biology, 2002
- Revealing modular organization in the yeast transcriptional networkNature Genetics, 2002
- Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variationNucleic Acids Research, 2002
- Creating the Gene Ontology Resource: Design and ImplementationGenome Research, 2001
- Missing value estimation methods for DNA microarraysBioinformatics, 2001
- Computational analysis of microarray dataNature Reviews Genetics, 2001