TY - JOUR
T1 - EMAGE
T2 - Electronic Mouse Atlas of Gene Expression
AU - Richardson, Lorna
AU - Stevenson, Peter
AU - Venkataraman, Shanmugasundaram
AU - Yang, Yiya
AU - Burton, Nick
AU - Rao, Jianguo
AU - Christiansen, Jeffrey H
AU - Baldock, Richard A
AU - Davidson, Duncan R
PY - 2013/10/17
Y1 - 2013/10/17
N2 - The EMAGE (Electronic Mouse Atlas of Gene Expression) database ( http://www.emouseatlas.org/emage ) allows users to perform on-line queries of mouse developmental gene expression. EMAGE data are represented spatially using a framework of 3D mouse embryo models, thus allowing uniquely spatial queries to be carried out alongside more traditional text-based queries. This spatial representation of the data also allows a comparison of spatial similarity between the expression patterns. The data are mapped to the models by a team of curators using bespoke mapping software, and the associated meta-data are curated for accuracy and completeness. The data contained in EMAGE are gathered from three main sources: from the published literature, through large-scale screens and collaborations, and via direct submissions from researchers. There are a variety of ways to query the EMAGE database via the on-line search interfaces, as well as via direct computational script-based queries. EMAGE is a free, on-line, community resource funded by the Medical Research Council, UK.
AB - The EMAGE (Electronic Mouse Atlas of Gene Expression) database ( http://www.emouseatlas.org/emage ) allows users to perform on-line queries of mouse developmental gene expression. EMAGE data are represented spatially using a framework of 3D mouse embryo models, thus allowing uniquely spatial queries to be carried out alongside more traditional text-based queries. This spatial representation of the data also allows a comparison of spatial similarity between the expression patterns. The data are mapped to the models by a team of curators using bespoke mapping software, and the associated meta-data are curated for accuracy and completeness. The data contained in EMAGE are gathered from three main sources: from the published literature, through large-scale screens and collaborations, and via direct submissions from researchers. There are a variety of ways to query the EMAGE database via the on-line search interfaces, as well as via direct computational script-based queries. EMAGE is a free, on-line, community resource funded by the Medical Research Council, UK.
U2 - 10.1007/978-1-60327-292-6_5
DO - 10.1007/978-1-60327-292-6_5
M3 - Article
C2 - 24318814
SN - 1064-3745
VL - 1092
SP - 61
EP - 79
JO - Methods in Molecular Biology
JF - Methods in Molecular Biology
ER -