Abstract:
:EMAGE (http://genex.hgu.mrc.ac.uk/Emage/database) is a database of in situ gene expression patterns in the developing mouse embryo. Domains of expression from raw data images are spatially integrated into a set of standard 3D virtual mouse embryos at different stages of development, allowing data interrogation by spatial methods. Sites of expression are also described using an anatomy ontology and data can be queried using text-based methods. Here we describe recent enhancements to EMAGE which include advances in spatial search methods including: a refined local spatial similarity search algorithm, a method to allow global spatial comparison of patterns in EMAGE and subsequent hierarchical-clustering, and spatial searches across multiple stages of development. In addition, we have extended data access by the introduction of web services and new HTML-based search interfaces, which allow access to data that has not yet been spatially annotated. We have also started incorporating full 3D images of gene expression that have been generated using optical projection tomography (OPT).
journal_name
Nucleic Acids Resjournal_title
Nucleic acids researchauthors
Venkataraman S,Stevenson P,Yang Y,Richardson L,Burton N,Perry TP,Smith P,Baldock RA,Davidson DR,Christiansen JHdoi
10.1093/nar/gkm938subject
Has Abstractpub_date
2008-01-01 00:00:00pages
D860-5issue
Database issueeissn
0305-1048issn
1362-4962pii
gkm938journal_volume
36pub_type
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