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）：Bioconductor是一个致力于分析和理解高通量基因组（序列、微阵列、流式细胞术、蛋白质组学、成像）数据的项目。Bioconductor基于R统计编程语言。它包括由该赠款资助的个人以及国家和国际科学界开发和提供的软件、注释和“实验数据”包。Bioconductor在全球生物信息学界备受推崇，广泛使用，并被高度引用。该项目的具体目标反映了Bioconductor模型：（1）突破性的统计软件开发（资源项目核心）和（2）强大的核心和贡献的软件存储库和支持基础设施，以将相对温和的资金放大为学术，政府和行业生物医学研究广泛领域的高效投资。该项目的最终目标是（3）有效和长期的项目管理，传播和培训，将许多学生转化为科学专业人员，天真的软件用户，成为统计基因组学的成熟领导者。

项目成果

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

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