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  MEPD : a resource for medaka gene expression patterns

Henrich, T., Ramialison, M., Wittbrodt, B., Assouline, B., Bourrat, F., Berger, A., et al. (2005). MEPD: a resource for medaka gene expression patterns. Bioinformatics, 21(14), 3195-3197. doi:10.1093/bioinformatics/bti478.

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Henrich et al. - Bioinformatics.pdf (Any fulltext), 43KB
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Henrich et al. - Bioinformatics.pdf
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 Creators:
Henrich, Thorsten, Author
Ramialison, Mirana, Author
Wittbrodt, Beate, Author
Assouline, Beatrice, Author
Bourrat, Franck, Author
Berger, Anja1, Author              
Himmelbauer, Heinz2, Author              
Sasaki, Takashi, Author
Shimizu, Nobuyoshi, Author
Westerfield, Monte, Author
Kondoh, Hisato, Author
Wittbrodt, Joachim, Author
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              
2Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              

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 Abstract: The Medaka Expression Pattern Database (MEPD) is a database for gene expression patterns determined by in situ hybridization in the small freshwater fish medaka (Oryzias latipes). Data have been collected from various research groups and MEPD is developing into a central expression pattern depository within the medaka community. Gene expression patterns are described by images and terms of a detailed medaka anatomy ontology of over 4000 terms, which we have developed for this purpose and submitted to Open Biological Ontologies. Sequences have been annotated via BLAST match results and using Gene Ontology terms. These new features will facilitate data analyses using bioinformatics approaches and allow cross-species comparisons of gene expression patterns. Presently, MEPD has 19 757 entries, for 1024 of them the expression pattern has been determined.

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Language(s): eng - English
 Dates: 2005-05-06
 Publication Status: Published in print
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 Identifiers: eDoc: 271567
DOI: 10.1093/bioinformatics/bti478
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Title: Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 21 (14) Sequence Number: - Start / End Page: 3195 - 3197 Identifier: ISSN: 1367-4803