BIOINFORMATICS CORE

生物信息学核心

• 批准号: 7381153
• 负责人: William Albert Thompson
• 金额: $ 4.69万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7381153
• 关键词: BIOINFORMATICS; CORE

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. There is an explosion of biological information. The GenBank database has been growing at a steady exponential tenfold rate every five years, and currently contains over 38 gigabases of sequence data. Secondary databases are also growing at a similar rate. Programs to analyze these data are proliferating. We will provide expert advice on the analysis of biopolymer sequence and microarray data. Consulting sessions may result in a collaborative effort when the analysis involves a substantial effort from core staff. The bioinformatics core will make several software systems available for the analysis of microarray expression data such as: the GeneSpring software; TM4, the TIGR microarray suite; SAM (Significance Analysis of Microarrays); gene ontology software such as AmiGO and DAG-Edit; and relevant components of the Bioconductor package. A number of sequence analysis tools including: BioPerl, the EMBOSS suite, ClustalW, BLAST, PHYLIP, and HMMER will be made available. General purpose statistical software such as R will be accessible. In addition, software developed by the members of the Brown Center for Computational Molecular Biology, such as the Gibbs module sampler will be offered. The Center will also provide basic analyses of array data and statistical consulting to aid investigators in the design of experiments and the interpretation of results. Access will be provided to a variety of sequence databases. Support for other software tools relevant to computational molecular biology will be available as well as assistance in searching for, acquiring, and installing new software.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。生物信息爆炸了。GenBank数据库每五年以稳定的指数增长十倍，目前包含超过38千兆字节的序列数据。二级数据库也在以类似的速度增长。分析这些数据的程序正在激增。我们将为生物聚合物序列和微阵列数据的分析提供专家建议。当分析涉及核心工作人员的大量工作时，咨询会议可能会导致协作努力。 生物信息学核心将使几个软件系统可用于分析微阵列表达数据，如：GeneSpring软件; TM 4，TIGR微阵列套件; SAM（微阵列的重要性分析）;基因本体软件，如AmiGO和DAG-Edit;以及Bioconductor包的相关组件。将提供许多序列分析工具，包括：BioPerl、TMS 320 C6 SS套件、ClustalW、BLAST、PHYLIP和HMMER。通用统计软件，如R将是可访问的。此外，还将提供由布朗计算分子生物学中心成员开发的软件，如吉布斯模块采样器。该中心还将提供阵列数据的基本分析和统计咨询，以帮助研究人员设计实验和解释结果。将提供对各种序列数据库的访问。 将提供对与计算分子生物学相关的其他软件工具的支持，以及对搜索、获取和安装新软件的帮助。