Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
+44 1223 790975
ISSN: 0974-276X
+44 1223 790975
Nicolas Cagnard
Plateforme Bioinformatique Paris Descartes, Université Paris Descartes,
IRNEM IFR-94, Paris 75730
France
Research Article
GExMap: An Intuitive Visual Tool to Detect and Analyze Genomic Distribution in Microarray-generated Lists of Differentially Expressed Genes
Author(s): Nicolas Cagnard, Carlo Lucchesi and Gilles ChiocchiaNicolas Cagnard, Carlo Lucchesi and Gilles Chiocchia
High- throughput technologies, as DNA microarrays, generate a huge amount of data, which are difficult to interpret. Biologists require easy-to-use tools to analyze them and explore new scientific hypotheses. We propose a visual data mining tool to extract a new type of useful genomic information buried in gene lists generated by differential expression studies. We compare the genomic distribution that is observed within the gene list with the expected distribution, which is estimated from public genomic databases. An algorithm of research and a statistical test give reliable and optimal results. GExMap helps identify genomic regions that are enriched in genes whose differential expression is of potential interest for target diseases. This software is freely available20 and easily customized. Since sources are frequently updated, it offers tools for updates at any mom.. View More»
DOI:
10.4172/jpb.1000060