Title
ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions.
Abstract
Reference datasets are often used to compare, interpret or validate experimental data and analytical methods. In the field of gene expression, several reference datasets have been published. Typically, they consist of individual baseline or spike-in experiments carried out in a single laboratory and representing a particular set of conditions. Here, we describe a new type of standardized datasets representative for the spatial and temporal dimensions of gene expression. They result from integrating expression data from a large number of globally normalized and quality controlled public experiments. Expression data is aggregated by anatomical part or stage of development to yield a representative transcriptome for each category. For example, we created a genome-wide expression dataset representing the FDA tissue panel across 35 tissue types. The proposed datasets were created for human and several model organisms and are publicly available at http://www.expressiondata.org.
Year
DOI
Venue
2014
10.1186/1756-0381-7-18
BioData mining
Keywords
Field
DocType
Reference Dataset, Anatomical Part, Biological Oscillation, Represent Gene Expression, GENEVESTIGATOR Database
Data mining,Anatomical part,Experimental data,Computer science,Bioinformatics
Journal
Volume
Issue
ISSN
7
1
1756-0381
Citations 
PageRank 
References 
0
0.34
5
Authors
11