Bioconductor: An Open Computing Resource for 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是基于R统计编程语言。它由软件、注释和“实验数据”包组成，这些软件包由本基金资助的个人以及国家和国际科学界开发和贡献。Bioconductor在全球生物信息学领域备受推崇，应用广泛，被引频次高。该项目的具体目标反映了Bioconductor的模式：(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，将相对适度的资金扩大到学术、政府和工业生物医学研究的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，将许多学生转变为科学专业人员和天真的软件用户，转变为统计基因组学领域的成熟领导者。

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.