2012
DOI: 10.1002/humu.22070
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Observ-OM and Observ-TAB: Universal syntax solutions for the integration, search, and exchange of phenotype and genotype information

Abstract: Genetic and epidemiological research increasingly employs large collections of phenotypic and molecular observation data from high quality human and model organism samples. Standardization efforts have produced a few simple formats for exchange of these various data, but a lightweight and convenient data representation scheme for all data modalities does not exist, hindering successful data integration, such as assignment of mouse models to orphan diseases and phenotypic clustering for pathways. We report a un… Show more

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Cited by 18 publications
(14 citation statements)
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“…These programs are all integrated in our MOLGENIS Compute analysis pipeline developed by the Genomics Coordination Center, Department of Genetics, University of Groningen (http:// wiki.gcc.rug.nl/wiki/GccStart). 18 Pathogenicity predictions for variants were obtained from PolyPhen 2.0, SIFT, and Align GVD. [19][20][21][22][23] Variations were validated by direct Sanger sequencing and analyzed using DNA Variant Analysis Software Mutation Surveyor.…”
Section: Exome Sequencing and Mutation Screeningmentioning
confidence: 99%
“…These programs are all integrated in our MOLGENIS Compute analysis pipeline developed by the Genomics Coordination Center, Department of Genetics, University of Groningen (http:// wiki.gcc.rug.nl/wiki/GccStart). 18 Pathogenicity predictions for variants were obtained from PolyPhen 2.0, SIFT, and Align GVD. [19][20][21][22][23] Variations were validated by direct Sanger sequencing and analyzed using DNA Variant Analysis Software Mutation Surveyor.…”
Section: Exome Sequencing and Mutation Screeningmentioning
confidence: 99%
“…Using snpEff (http://snpeff.sourceforge.net), variants were annotated with information from dbSNP132, 1000 Genomes Project (phase 1, 2 and 3) and Ensembl build 37.64, which are all integrated into the pipeline MOLGENIS Compute developed by the Genomics Coordination Center of the Department of Genetics, University of Groningen, Groningen, The Netherlands (http://wiki.gcc.rug.nl/wiki/GccStart).8 Variant pathogeneity predictions were obtained with PolyPhen V.2.0, SIFT and Align GVD 9–12…”
Section: Methodsmentioning
confidence: 99%
“…We began by incorporating previous work on data requirements [6,8,14] and data modelling activities, such as PaGE-OM [15] and its generalization Observ-OM [16], in the design of VarioML LSDBs specification.…”
Section: Methodsmentioning
confidence: 99%
“…This highlighted the need for a new harmonized model for describing scientific observations in general, providing a common language usable across all domains. For this purpose, a new object model, Observ-OM [16], was developed.…”
Section: Methodsmentioning
confidence: 99%