EuroPhenome: a repository for high-throughput mouse phenotyping data.

Details

Serval ID
serval:BIB_CADC89E93E05
Type
Article: article from journal or magazin.
Collection
Publications
Title
EuroPhenome: a repository for high-throughput mouse phenotyping data.
Journal
Nucleic Acids Research
Author(s)
Morgan H., Beck T., Blake A., Gates H., Adams N., Debouzy G., Leblanc S., Lengger C., Maier H., Melvin D., Meziane H., Richardson D., Wells S., White J., Wood J., de Angelis M.H., de Angelis M.H., Brown S.D., Hancock J.M., Mallon A.M.
Working group(s)
EUMODIC Consortium
Contributor(s)
Bosch F., Ruberte£££Jesús£££ J. , Ferre T., Pujol A., Otaegui P., Franckhauser S., Marvel J., Queste V., Dacquin R., Djebali S., Jurdic P., Kollias G., Chandras C., Douni E., Aidinis V., Barbacid M., Cañamero M., Dubus P., Balling R., Hauser H., Pasche B., Müller W., Lengeling A., Tocchini-Valentini G., Mandillo S., Golini E., Marazziti D., Deidda G., Rossi N., Matteoni R., Raspa M., Scavizzi F., Rossi N., Matteoni R., Raspa M., Scavizzi F., Butler RH., Di Segni G., Fruscoloni P., Calandra P., Mannironi C., Scarabino D., Tocchini-Valentini GD., Zamboni M., Putti S., Di Pietro C., Gastaldi S., Herault Y., Ryffel B., le Bert M., Pereirea PL., Brault V., Dalloneau E., Pothion S., Rosenthal N., Al Banchaabouchi M., Migliozzi R., Salimova E., de Angelis MH. , Gailus-Durner V., Fuchs H., Adler T., Aguilar-Pimentel A., Becker L., Bekeredjian R., Busch DH., Calzada-Wack J., Da Silva-Buttkus P., Esposito I., Favor J., Fleischmann W., Garrett L., Glasl L., Götz A., Graw J., Hans W., Hölter-Koch SM., Ivandic B., Katus HA., Klingenspor M., Klopstock T., Lengger C., Ludwig T., Maier H., Micklich K., Minxuan S., Naton B., Neff F., Ollert M., Puk O., Quintanilla-Fend L., Racz I., Rathkolb B., Rozman J., Schäble KH., Schiller E., Schrewe A., Steinkamp R., Stöger C., Stöger T., Schulz H., Tost M., Treise I., Vogt-Weisenhorn D., Willershäuser M., Wolf E., Wolff-Muscate A., Wurst W., Zeh R., Zimmer A., Mandel JL., Hérault Y., Champy MF., Selloum M., Meziane H., Monassier L., Combe R., Roux M., Ayadi A., Muller S., Bedu E., Becker J., Leblanc S., Sorg T., Vasseur L., Jackson I., Cross S., Joynson R., Jadeja S., Avraham K., Dror A., Shivatzki S., Ballabio A., Diez-Roux G., Brown S., Gates H., Adams N., Atkins S., Beck T., Blake A., Chiev KP., Chouankam A., Cox R., Denny P., Emelyanova I., Fray M., Greenaway S., Hancock J., Hough T., Hunt K., Kendall R., Lee K., Mallon AM., Morgan H., Nolan P., Potter P., Stewart M., Teboul L., Vowell S., Wells S., Wood J., Zaman R., Schofield P., Gruenberger M., Griffin J., Wahli W., Preitner F., Delgado MB., Desvergne B., Michalik L., Bedu E., Neyses L., Cartwright E., Prehar S., Zi M., Ramirez-Solis R., Steel K., White J., Sunter D., Melvin D., Gerdin AK., Igosheva N., Estabel J., Messager S., Karp N., Shannon C., Roberson L., Richardson D., Podrini C., Lucas M.
ISSN
1362-4962 (Electronic)
ISSN-L
0305-1048
Publication state
Published
Issued date
2010
Peer-reviewed
Oui
Volume
38
Number
Database issue
Pages
D577-D585
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
The broad aim of biomedical science in the postgenomic era is to link genomic and phenotype information to allow deeper understanding of the processes leading from genomic changes to altered phenotype and disease. The EuroPhenome project (http://www.EuroPhenome.org) is a comprehensive resource for raw and annotated high-throughput phenotyping data arising from projects such as EUMODIC. EUMODIC is gathering data from the EMPReSSslim pipeline (http://www.empress.har.mrc.ac.uk/) which is performed on inbred mouse strains and knock-out lines arising from the EUCOMM project. The EuroPhenome interface allows the user to access the data via the phenotype or genotype. It also allows the user to access the data in a variety of ways, including graphical display, statistical analysis and access to the raw data via web services. The raw phenotyping data captured in EuroPhenome is annotated by an annotation pipeline which automatically identifies statistically different mutants from the appropriate baseline and assigns ontology terms for that specific test. Mutant phenotypes can be quickly identified using two EuroPhenome tools: PhenoMap, a graphical representation of statistically relevant phenotypes, and mining for a mutant using ontology terms. To assist with data definition and cross-database comparisons, phenotype data is annotated using combinations of terms from biological ontologies.
Keywords
Animals, Computational Biology/methods, Computational Biology/trends, Databases, Genetic, Databases, Protein, Information Storage and Retrieval/methods, Internet, Mice, Mice, Inbred C57BL, Mice, Inbred Strains, Mice, Knockout, Phenotype, Programming Languages, Protein Structure, Tertiary, Software
Pubmed
Web of science
Open Access
Yes
Create date
01/03/2010 16:32
Last modification date
20/08/2019 16:45
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