A web application for the unspecific detection of differentially expressed DNA regions in strand-specific expression data

Loading...
Thumbnail Image
Publication date
2015
Reading date
Journal Title
Journal ISSN
Volume Title
Publisher
Metrics
Export
Abstract
Genomic technologies allow laboratories to produce large-scale data sets, either through the use of next-generation sequencing or microarray platforms. To explore these data sets and obtain máximum value from the data, researchers view their results alongside all the known features of a given reference genome. To study transcriptional changes that occur under a given condition, researchers search for regions of the genome that are differentially expressed between different experimental conditions. In order to identify these regions several algorithms have been developed over the years, along with some bioinformatic platforms that enable their use. However, currently available applications for comparative microarray analysis exclusively focus on changes in gene expression within known transcribed regions of predicted proteincoding genes, the changes that occur in non-predictable genetic elements, such as non-coding RNAs. Here, we present a web application for the visualization of strand-specific tiling microarray or next-generation sequencing data that allows customized detection of differentially expressed regions all along the genome in an unspecific manner, that allows identification of all RNA sequences, predictable or not
Description
Bibliographic reference
Juanes, José M. Miguel, Ana Morales, Lucas J. Pérez Ortín, José Enrique Arnau Llombart, Vicente 2015 A web application for the unspecific detection of differentially expressed DNA regions in strand-specific expression data Bioinformatics 31 19 3228 3230