Genotype-phenotype databases: challenges and solutions for the post-genomic era.
about
Rise and demise of bioinformatics? Promise and progressThe PhenX Toolkit: get the most from your measuresBiomedical informatics and translational medicineMicroattribution and nanopublication as means to incentivize the placement of human genome variation data into the public domainControlled Access under Review: Improving the Governance of Genomic Data AccessToward knowledge support for analysis and interpretation of complex traitsFrom ontology to semantic similarity: calculation of ontology-based semantic similarityDASMI: exchanging, annotating and assessing molecular interaction dataMining large heterogeneous data sets in drug discovery.Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.XGAP: a uniform and extensible data model and software platform for genotype and phenotype experimentsQuality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studiesThe MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button.Knowledge management for systems biology a general and visually driven framework applied to translational medicine.IthaGenes: an interactive database for haemoglobin variations and epidemiologySPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association studyDeciphering next-generation pharmacogenomics: an information technology perspective.DcGO: database of domain-centric ontologies on functions, phenotypes, diseases and moreMeeting the governance challenges of next-generation biorepository research.Managing sensitive phenotypic data and biomaterial in large-scale collaborative psychiatric genetic research projects: practical considerations.InterStoreDB: a generic integration resource for genetic and genomic data.Using PhenX measures to identify opportunities for cross-study analysis.Variation Interpretation Predictors: Principles, Types, Performance, and Choice.Neurocarta: aggregating and sharing disease-gene relations for the neurosciences.DataGenno: building a new tool to bridge molecular and clinical geneticsAnnotating DNA variants is the next major goal for human genetics.Toward design-based engineering of industrial microbes.A literature search tool for intelligent extraction of disease-associated genes.Emerging landscape of genomics in the Electronic Health Record for personalized medicine.Using electronic health records to drive discovery in disease genomics.Closure of population biobanks and direct-to-consumer genetic testing companies.Computational tools for comparative phenomics: the role and promise of ontologies.Challenges and opportunities for quantifying roots and rhizosphere interactions through imaging and image analysis.Integration of global resources for human genetic variation and disease.A Cross-National Tool for Assessing and Studying Suicidal Behaviors.IGVBrowser--a genomic variation resource from diverse Indian populations.An informatics project and online "Knowledge Centre" supporting modern genotype-to-phenotype research.WAVe: web analysis of the variome.Single Nucleotide Polymorphism Genotyping in Single-Molecule Electronic Circuits.The Unique Evolutionary Signature of Genes Associated with Autism Spectrum Disorder.
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Genotype-phenotype databases: challenges and solutions for the post-genomic era.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@ast
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@en
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@nl
type
label
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@ast
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@en
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@nl
prefLabel
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@ast
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@en
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@nl
P2860
P356
P1476
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
@en
P2093
Anthony J Brookes
P2860
P2888
P356
10.1038/NRG2483
P577
2009-01-01T00:00:00Z
P5875
P6179
1032498638