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024 8 _ahttps://doi.org/10.1038/npre.2010.5029.1
040 _aMX-TxCIM
041 _aeng
090 _aCIS-6123
100 1 _9864
_aShrestha, R.
_gGenetic Resources Program
_8INT2832
245 1 0 _aOntology-driven International Maize Information System (IMIS) for phenotypic and genotypic data exchange
260 _bNature Publishing Group :
_c2010
_aUnited Kingdom :
300 _a1 Poster
500 _aOpen Access
520 _aThe Consultative Group on International Agricultural Research (CGIAR; http://www.cgiar.org/) centres have developed the International Crop Information System (ICIS; http://www.icis.cgiar.org) for the management and integration of global information on genetic resources, and germplasm improvement for any crop. The Maize breeding programs at CIMMYT (http://beta.cimmyt.org/) have different software tools to manage phenotypic, genotypic, and environmental information for their experiments generated worldwide. These tools have the capacity of collecting information in the field, wet lab, and store it into different relational databases. The IMIS (http://imis.cimmyt.org/confluence/display/IMIS/Crop+Finder) is an implementation of the ICIS, which is a computerized database system for general, integrated management and utilization of genealogy, nomenclature, genetic, phenotypic and characterization data for maize. Data exchange within and between databases as well as retrieving information are often hampered by the variability of terms used to describe comparable objects. To overcome this problem, the Crop Ontology (CO) database (http://cropontology.org/) is developed. It provides controlled vocabulary sets for several economically important plant species and facilitates biocurators working in genebanks of plant genetic resources (PGR) and crop breeding data curation and annotation. The maize trait ontology is developed as one of subclasses of CO trait ontology providing standardized trait descriptions, scales and scale values implemented into the IMIS. This ontology-driven IMIS will allow researchers who wish to exploit comparative phenotypic and genotypic information of maize to elucidate functional aspects of each trait.
536 _aGenetic Resources Program
546 _aText in English
594 _aINT2832|INT3049
595 _aCSC
650 1 7 _aBioinformatics
_2AGROVOC
_98703
650 1 7 _aBotany
_2AGROVOC
_91024
650 1 7 _aData
_2AGROVOC
_99002
650 1 7 _aOntology engineering
_2AGROVOC
_930606
700 1 _aSanchez, H.
_930607
700 _aAYALA HERNÁNDEZ, C.
_98530
_gGenetic Resources Program
700 1 _9885
_aWenzl, P.
_gGenetic Resources Program
_8INT3049
700 1 _aArnaud, E.
_94903
942 _cGRA
_2ddc
999 _c7979
_d7979