about
Ensembl variation resourcesImproved exome prioritization of disease genes through cross-species phenotype comparisonThe IKMC web portal: a central point of entry to data and resources from the International Knockout Mouse ConsortiumThe mammalian gene function resource: the International Knockout Mouse ConsortiumEnsembl's 10th yearNew methods for finding disease-susceptibility genes: impact and potentialPhenotype-driven strategies for exome prioritization of human Mendelian disease genes.Disease insights through cross-species phenotype comparisonsApplying the ARRIVE Guidelines to an In Vivo DatabaseThe Human Phenotype Ontology project: linking molecular biology and disease through phenotype dataThe Human Phenotype Ontology in 2017The BioMart community portal: an innovative alternative to large, centralized data repositoriesTowards BioDBcore: a community-defined information specification for biological databasesThe Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across speciesClinical interpretation of CNVs with cross-species phenotype dataGetting ready for the Human Phenome Project: the 2012 forum of the Human Variome ProjectTowards BioDBcore: a community-defined information specification for biological databasesTowards the integration of mouse databases - definition and implementation of solutions to two use-cases in mouse functional genomicsModels for financial sustainability of biological databases and resourcesEnsMart: a generic system for fast and flexible access to biological dataA gene expression resource generated by genome-wide lacZ profiling in the mouse.PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.eVOC: a controlled vocabulary for unifying gene expression data.Application of eVOC: controlled vocabularies for unifying gene expression data.GANESH: software for customized annotation of genome regions.Solutions for data integration in functional genomics: a critical assessment and case study.BioMart Central Portal--unified access to biological data.EMMA--mouse mutant resources for the international scientific community.XGAP: a uniform and extensible data model and software platform for genotype and phenotype experimentsDefining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience.Research funding. Sustaining the data and bioresource commons.Using association rule mining to determine promising secondary phenotyping hypothesesNext-generation diagnostics and disease-gene discovery with the ExomiserUse of model organism and disease databases to support matchmaking for human disease gene discovery.The influence of disease categories on gene candidate predictions from model organism phenotypes.MouseFinder: Candidate disease genes from mouse phenotype data.BioMart as an integration solution for the International Knockout Mouse Consortium.BioMart Central Portal: an open database network for the biological communityDeletions of chromosomal regulatory boundaries are associated with congenital disease.Jannovar: a java library for exome annotation.
P50
Q21030509-928EA1C5-64EC-4521-B4EB-7004DBFDB0E0Q23815226-B73D009D-7206-471F-9462-8AF55979E5EAQ24609225-ED69653E-0792-484C-8B3E-C0062895B189Q24631451-A81BB1CB-D2BC-44CB-820A-302AA3CF8EEBQ24643906-B37DD6FD-5D9B-4FF4-8861-7A03E33C9AD0Q24792574-679BCBFE-8F69-46FE-80F8-5CAF0A0F8E9AQ26801094-08370E60-68F8-4E23-848A-48C4CA388B67Q26998575-39E51C02-64F6-408C-994E-E25290C335F1Q27312051-9685BC71-FA9D-41C0-95C2-BBB31DC36E66Q27927005-47CA0183-8D18-41D0-8B81-4B5AE9643FBAQ27927007-9467C5D9-2A22-4370-9EAB-6120E9A70E9CQ27949361-CABE818E-B305-4D01-B620-10EC5102C715Q28302329-AF30DA29-584A-4CFD-843B-4F7C18A47AF0Q28584446-F4B5E733-B7E9-454C-BB23-E235FBB3242BQ28647107-3530C8DD-C83C-4A9D-9D6C-6FD8129FA246Q28654634-CC4DFE06-D346-45A8-9A50-8A1D5C52DDF6Q28743747-81F76177-77EC-47AA-BC7F-E1424CD87095Q28748777-438A71EA-2A48-4163-944F-2DA803F3451DQ28749598-A87D03A0-F27D-4837-8CC5-3EC86DE180E9Q28776411-9414089C-9D78-4F12-BE52-99C3363AFFBDQ30488361-B7B6C9A6-1D1F-4EA2-9F0C-44CE57E10E6AQ30488475-57D9EF88-497A-4874-97D0-675489F12FDDQ30727717-97FDB0B6-D043-4496-AC60-6E57C09D2044Q30890638-1F5EFCF3-9811-40A2-BE7E-197BDA0093E5Q33188376-31512E21-42DD-4934-B797-5B2813F4DCF5Q33396175-C8624E72-61F7-4583-9DEB-B146C0E28D5AQ33440110-2648C095-AAAF-4B3A-9AEA-E79FC05205D0Q33506944-AA1C4D93-2ABE-40F1-A36E-EC4E8452F590Q33538882-A66A99B8-D8C2-4B46-BF4C-66AF5E0DC223Q33729428-0B8E5FF3-DBD2-4E9A-B17A-6033AAD05119Q33732514-A91D8ECE-E929-4C2C-9216-D641A55C10B1Q33760921-72EF70A9-3363-4D77-A3D5-E6FC0038F442Q33787807-6F07B121-3684-4A84-8AE6-582AF2138842Q33806132-65EFCE2C-DCDA-45BE-8CE9-E87200685A43Q33941938-D1AD17ED-106B-42F5-BBB1-1533DB77E257Q34158189-3EA4CF10-7B3C-4594-AA19-77269772E2D6Q34217523-FA8D8189-5255-484E-AA61-8F7259BB735DQ34217543-CBE56B60-E0D0-4E4D-80A2-545441A78A02Q34271260-876F4698-E953-4749-A92E-29264F6E0FFCQ34412573-35F660D7-BD00-4EB8-87FE-0F315D6401FE
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Damian Smedley
@ast
Damian Smedley
@en
Damian Smedley
@es
Damian Smedley
@nl
Damian Smedley
@sl
type
label
Damian Smedley
@ast
Damian Smedley
@en
Damian Smedley
@es
Damian Smedley
@nl
Damian Smedley
@sl
prefLabel
Damian Smedley
@ast
Damian Smedley
@en
Damian Smedley
@es
Damian Smedley
@nl
Damian Smedley
@sl
P106
P21
P31
P496
0000-0002-5836-9850
P569
2000-01-01T00:00:00Z