Mouse Phenotyping Informatics Infrastructure - Data acquisition, integration, analysis and translation of high throughput mammalian phenotyping data.

小鼠表型信息学基础设施 - 高通量哺乳动物表型数据的数据采集、集成、分析和翻译。

• 批准号: 10516810
• 负责人: Ann-Marie Mallon
• 金额: $ 151.95万
• 依托单位: EUROPEAN MOLECULAR BIOLOGY LABORATORY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-16 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10516810
• 关键词: Address; Advanced Development; Algorithms; Automation; Biomedical Research; Brain; Catalogs; Clinical; Collaborations; Communication; Communities; Complex; Computer software; Data; Data Analyses; Data Coordinating Center; Data Set; Data Store; Detection; Development; Diagnosis; Diagnostic; Disease; Disease model; Education and Outreach; Ensure; Generations; Genes; Genetic; Genetic Diseases; Genome; Genome Components; Genomics; Goals; Health; Heart Diseases; Human; Human Genetics; Image; Image Analysis; International; Intuition; Investigation; Knowledge; Learning; Link; Lung; Machine Learning; Manuals; Marketing; MeSH Thesaurus; Methods; Mus; Ontology; Pathway interactions; Phase; Phenotype; Population; Process; Production; Protocols documentation; Publications; Quality Control; Reporting; Reproducibility; Research; Research Personnel; Resources; Role; Semantics; Standardization; Statistical Data Interpretation; Statistical Methods; Structure; Techniques; Testing; Training; Translations; Update; Validation; Visualization; Visualization software; analysis pipeline; base; biomedical resource; data access; data acquisition; data archive; data quality; data standards; dissemination strategy; experience; gene discovery; gene function; genome browser; genome wide association study; human disease; improved; informatics infrastructure; interest; mouse genome; novel; outreach; phenomics; phenotypic data; rare genetic disorder; symposium; therapeutic target; tool; web portal; working group

PROJECT SUMMARY The International Mouse Phenotyping Project (MPI2) is a critical resource for biomedical research providing novel gene-phenotype associations for genes with little or no known function, supplying strains for thousands of mechanistic studies and delivering integration with genomic, phenomic and human disease-relevant information providing improved understanding into the underlying causes of rare and common disease. The MPI2 Consortium will continue to support project data generating partners by providing data acquisition, analysis, visualisation, quality control and integration of this valuable dataset ensuring it is robust and highly accessed. Specifically: • Develop and enhance standardized protocols for phenotyping tests and enhanced data upload and quality control processes ensuring tracking of consortium-wide progress of strain production and data generation and provision of FAIR quality controlled data for community use • Deliver statistical analysis and annotation pipelines extended to improve precision and recall of phenotypes of the growing dataset and image analysis techniques will extract new knowledge from >500,000 images. Phenotype comparisons to identify candidate disease models will be enhanced by including new disease populations and more extensive semantic mappings with human phenotype ontologies • Ensure rapid statistical analysis for newly acquired and quality controlled data enabling users to access new strains and knowledge about them quickly from the project’s web portal. • Enhance the project’s web portal for all users, new features for clinical user groups including visualisation tools with presentation improved for disease researchers and complex queries enabling deeper interrogation of phenotypes of interest for disease • Deliver a suite of training materials enabling learning journeys for diverse user groups • Deliver a communication and outreach strategy ensuring the project’s visibility increases and tracking new knowledge generated by the community using IMPC’s lines and data

项目总结