Serial Expression Analysis: a web tool for the analysis of serial gene expression data.

TitleSerial Expression Analysis: a web tool for the analysis of serial gene expression data.
Publication TypeJournal Article
Year of Publication2010
AuthorsNueda, MJosé, Carbonell, J, Medina, I, Dopazo, J, Conesa, A
JournalNucleic Acids Res
Volume38
IssueWeb Server issue
PaginationW239-45
Date Published2010 Jul
ISSN1362-4962
KeywordsAlgorithms; Gene Expression Profiling; Internet; Kinetics; Linear Models; Oligonucleotide Array Sequence Analysis; Software
Abstract

Serial transcriptomics experiments investigate the dynamics of gene expression changes associated with a quantitative variable such as time or dosage. The statistical analysis of these data implies the study of global and gene-specific expression trends, the identification of significant serial changes, the comparison of expression profiles and the assessment of transcriptional changes in terms of cellular processes. We have created the SEA (Serial Expression Analysis) suite to provide a complete web-based resource for the analysis of serial transcriptomics data. SEA offers five different algorithms based on univariate, multivariate and functional profiling strategies framed within a user-friendly interface and a project-oriented architecture to facilitate the analysis of serial gene expression data sets from different perspectives. SEA is available at sea.bioinfo.cipf.es.

DOI10.1093/nar/gkq488
Alternate JournalNucleic Acids Res
PubMed ID20525784
PubMed Central IDPMC2896172