PhenoTips: patient phenotyping software for clinical and research use.
about
Capturing phenotypes for precision medicineNovel bioinformatic developments for exome sequencingThe Current Landscape of Genetic Testing in Cardiovascular Malformations: Opportunities and ChallengesDisease insights through cross-species phenotype comparisonsImproving the informed consent process in international collaborative rare disease research: effective consent for effective research.The Human Phenotype Ontology project: linking molecular biology and disease through phenotype dataThe Human Phenotype Ontology in 2017The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across speciesFacilitating a culture of responsible and effective sharing of cancer genome dataThe role of ontologies in biological and biomedical research: a functional perspectiveClinGen--the Clinical Genome ResourceEHR Big Data Deep Phenotyping. Contribution of the IMIA Genomic Medicine Working GroupComputational evaluation of exome sequence data using human and model organism phenotypes improves diagnostic efficiency.Systematic reanalysis of clinical exome data yields additional diagnoses: implications for providers.PhenoVar: a phenotype-driven approach in clinical genomics for the diagnosis of polymalformative syndromes.Defining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience.Whole Genome Sequencing Expands Diagnostic Utility and Improves Clinical Management in Pediatric MedicinePhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseasesNext-generation diagnostics and disease-gene discovery with the ExomiserFORGE Canada Consortium: outcomes of a 2-year national rare-disease gene-discovery project.RD-Connect: an integrated platform connecting databases, registries, biobanks and clinical bioinformatics for rare disease research.PhenUMA: a tool for integrating the biomedical relationships among genes and diseases.Phenotype-driven gene target definition in clinical genome-wide sequencing data interpretation.GeneMatcher aids in the identification of a new malformation syndrome with intellectual disability, unique facial dysmorphisms, and skeletal and connective tissue abnormalities caused by de novo variants in HNRNPK.Phenopolis: an open platform for harmonization and analysis of genetic and phenotypic data.A visual and curatorial approach to clinical variant prioritization and disease gene discovery in genome-wide diagnostics.SoftPanel: a website for grouping diseases and related disorders for generation of customized panels.MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial DiseaseFrom case studies to community knowledge base: MSeqDR provides a platform for the curation and genomic analysis of mitochondrial diseases.The Undiagnosed Diseases Program Integrated Collaboration System (UDPICS): One Program's Experience Developing Custom Software to Support Research for Complex-Disease Families.Computer-assisted initial diagnosis of rare diseasesThe digital revolution in phenotyping.Utility of whole-exome sequencing for those near the end of the diagnostic odyssey: time to address gaps in care.Distributed Cognition and Process Management Enabling Individualized Translational Research: The NIH Undiagnosed Diseases Program Experience.The genome clinic: a multidisciplinary approach to assessing the opportunities and challenges of integrating genomic analysis into clinical care.Phenotyping: targeting genotype's rich cousin for diagnosis.Composite likelihood method for inferring local pedigreesThe Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease.Recommendations for the integration of genomics into clinical practiceThe anatomy of phenotype ontologies: principles, properties and applications.
P2860
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P2860
PhenoTips: patient phenotyping software for clinical and research use.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
PhenoTips: patient phenotyping software for clinical and research use.
@en
type
label
PhenoTips: patient phenotyping software for clinical and research use.
@en
prefLabel
PhenoTips: patient phenotyping software for clinical and research use.
@en
P2093
P2860
P356
P1433
P1476
PhenoTips: patient phenotyping software for clinical and research use.
@en
P2093
David Chitayat
Dimitri J Stavropoulos
Hanna Faghfoury
M Stephen Meyn
Marc Fiume
Marta Girdea
Peter N Ray
Sarah Bowdin
Sergiu Dumitriu
P2860
P304
P356
10.1002/HUMU.22347
P577
2013-05-24T00:00:00Z