Bioconductor: An Open Computing Resource for Genomics

Bioconductor：基因组学的开放计算资源

• 批准号: 9922952
• 负责人: Martin T Morgan
• 金额: $ 134.19万
• 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/9922952
• 关键词: Address; Adopted; Area; Bioconductor; Bioinformatics; Biomedical Research; Code; Collaborations; Communication; Communities; Comprehension; Computer software; Coupled; Data; Development; Documentation; Environment; Flow Cytometry; Funding; Genetic; Genomics; Government; Grant; Image; Individual; Industry; Infrastructure; International; Investments; Journals; Maintenance; Manuscripts; Modeling; Nature; Production; Programming Languages; Proteomics; PubMed; Research; Research Personnel; Resolution; Resources; Software Tools; Statistical Methods; Students; Technology; Telephone; Testing; Text; Training; Training Activity; Tsunami; base; cloud based; computing resources; diverse data; editorial; experience; experimental study; genome-wide; genomic data; high standard; insight; large datasets; large scale data; 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）：生物导体是一个针对高吞吐量基因组（序列，微阵列，流式细胞术，蛋白质组学，成像）的项目的项目。生物导体基于R统计编程语言。它由由该赠款资助的个人以及国家和国际科学界资助的个人以及国家和国际科学界的个人开发和贡献的软件，注释和“实验数据软件包”组成。生物导体是高度尊重的，在全球生物信息学界广泛使用，并引用了高度引用。该项目的具体目的反映了（1）（1）开创性统计软件开发（资源项目核心）和（2）强大的核心和贡献软件存储库的生物导体模型，并支持基础架构，以将相对适度的资金扩大到高度效率的投资中，以进行广泛的投资学术，政府和行业生物医学研究领域。该项目的最终目的是（3）有效且长期的项目管理，传播和培训，以将许多学生转变为科学专业人员和天真的软件用户，成为统计基因组学领域的成熟领导者。

项目成果

Scalable Genomics with R and Bioconductor.

使用 R 和 Bioconductor 的可扩展基因组学。

• DOI: 10.1214/14-sts476
• 发表时间: 2014
• 期刊: Statistical science : a review journal of the Institute of Mathematical Statistics
• 作者: Lawrence,Michael;Morgan,Martin
• 通讯作者: Morgan,Martin

ReUseData: an R/Bioconductor tool for reusable and reproducible genomic data management.

• DOI: 10.1186/s12859-023-05626-0
• 发表时间: 2024-01-03
• 期刊: BMC bioinformatics
• 影响因子: 3