Bioconductor: An Open Computing Resource for Genomics

Bioconductor：基因组学的开放计算资源

• 批准号: 9268520
• 负责人: Martin T Morgan
• 金额: $ 143.48万
• 依托单位: ROSWELL PARK CANCER INSTITUTE CORP
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-28 至 2021-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9268520
• 关键词: Address; Adopted; Area; Bioconductor; Bioinformatics; Biomedical Research; Code; Collaborations; Communication; Communities; Comprehension; Computer software; Coupled; Data; Data Set; Development; Documentation; Environment; Flow Cytometry; Funding; Genetic; Genomics; Government; Grant; Image; Individual; Industry; International; Investments; Journals; Maintenance; Manuscripts; Modeling; Nature; Production; Programming Languages; Proteomics; PubMed; Research; Research Infrastructure; Research Personnel; Resolution; Resource Development; Resources; Software Tools; Statistical Methods; Students; Technology; Telephone; Testing; Text; Training; Training Activity; Tsunami; base; cloud based; computing resources; editorial; experience; experimental study; genome-wide; genomic data; high standard; insight; massive open online courses; meetings; open source; public health relevance; signal processing; social media; software development; software repository; symposium; web site

 DESCRIPTION (provided by applicant): Bioconductor is a project dedicated to the analysis and comprehension of high throughput genomic (sequence, microarray, flow cytometry, proteomics, imaging) data. Bioconductor is based on the R statistical programming language. It consists of software, annotation, and `experiment data' packages developed and contributed by individuals funded by this grant, and by the national and international scientific community. Bioconductor is highly respected, widely used in the global bioinformatics community, and highly cited. The specific aims of this project reflect the Bioconductor model of (1) ground-breaking statistical software development (Resource Project Core) and (2) robust core and contributed software repository and support infrastructure to amplify relatively modest funding into highly-effective investment in broad areas of academic, government, and industry biomedical research. The final aim of the project is (3) effective and long-term project administration, dissemination, and training to transform many students into scientific professionals, and naive software users, into sophisticated leaders in statistical genomics.

 描述（由申请人提供）：生物通用器是一个专门用于分析的项目，并且计算机高吞吐量基因组cro，流式赛，蛋白质组学，成像）。由国家和国际TIFIC社区资助的个人开发和贡献的包装。有效地投资某些学术，政府和行业的生物医学研究。统计基因组学领域的先进领导者。