Bioinformatics

生物信息学

• 批准号: 7928891
• 负责人: Kevin Robert Coombes
• 金额: $ 17.37万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7928891
• 关键词: Algorithms; Area; Base Sequence; Basic Science; Bioinformatics; Bioinformatics Shared Resource; Biological; Biological Process; Biometry; Biostatistical Methods; Cancer Center; Cancer Center Support Grant; Characteristics; Chemicals; Clinical; Clinical Trials; Collaborations; Commit; Computational Biology; Computer software; Conduct Clinical Trials; Consultations; Core Facility; Data; Data Set; Data Sources; Databases; Diagnostic; Doctor of Medicine; Educational process of instructing; Ensure; Exons; Experimental Designs; Faculty; Funding; Future; Gene Proteins; Generations; Genomics; Goals; Home environment; Human Resources; Intervention Studies; Joints; Laboratories; Mass Spectrum Analysis; Methodology; Methods; Methylation; Mission; Molecular Biology; Nature; Phase; Play; Polymerase Chain Reaction; Prevention; Preventive Intervention; Proteins; Proteomics; Publications; Recruitment Activity; Reporting; Reproducibility; Research; Research Personnel; Resource Sharing; Resources; Role; Sample Size; Science; Scientist; Services; Single Nucleotide Polymorphism; Statistical Methods; Technology; Therapeutic; Time; Tissue Microarray; Training; Two-Dimensional Polyacrylamide Gel Electrophoresis; University of Texas M D Anderson Cancer Center; Work; cDNA Arrays; cancer genomics; comparative genomic hybridization; data integration; design; experience; high throughput technology; improved; innovation; mRNA Expression; member; new technology; oncology; programs; research study; serial analysis of gene expression; success; tool

The mission of the Bioinformatics Shared Resource (BISR) is to provide bioinformatic and biostatistical collaboration, consultation, and quantitative research resources to clinical, laboratory, and prevention scientists engaged in the planning, conduct, analysis, and interpretation of research studies that use modern high-throughput technologies from molecular biology. Additionally, members of the BISR collaborate with oncology research scientists to develop bioinformatic and biostatistical methods to improve the efficiency of current and future basic science, therapeutic, diagnostic, prevention, and intervention studies. Members of the BISR have experience with mRNA expression microarrays from Affymetrix, Agilent, and Illumina, proteomics using mass spectrometry or two-dimensional polyacrylamide gel electrophoresis; serial analysis of gene expression; tissue microarrays; array comparative genomic hybridization; single nucleotide polymorphism chips; methylation arrays; microRNA arrays; exon tiling arrays; real-time polymerase chain reaction; and reverse-phase protein lysate arrays. The BISR provides advice on choosing technology platforms, experimental design, sample size and power computations, data preprocessing, statistical analysis, and bioinformatic interpretation. The services of the resource are directed toward three goals: (1) to ensure that all high-throughput experiments at M.D. Anderson are properly analyzed and interpreted, (2) to play a direct role in the planning and design of experiments that use these technologies, and (3) to provide educational programs in bioinformatics methods. During the previous funding period, the BISR assisted 244 investigators from 20 different programs. Use of the BISR doubled during the previous five years, and the number of publications by users of the BISR grew from 33 during the first year to 65 during the most recent year. In the future, we remain committed to providing support for the design and analysis of experiments using cutting-edge technologies and will work with M.D. Anderson researchers to understand the nature of the data generated from novel technologies. Where possible, we are standardizing our analyses and report generation by developing templates in Sweave, a tool that enhances the reproducibility of statistical analyses. We also plan to enhance our ability to offer sequence-based bioinformatics services such as ChlP-on-chip and motif finding. Finally, we are exploring innovative ways to integrate data, algorithms, and reports.

生物信息学共享资源（BISR）的使命是提供生物信息学和生物统计学 为临床，实验室和预防的协作，咨询和定量研究资源 从事使用现代研究的研究，进行，进行，分析和解释的科学家 分子生物学的高通量技术。此外，BISR的成员与 肿瘤研究科学家开发生物信息学和生物统计学方法，以提高 当前和未来的基础科学，治疗，诊断，预防和干预研究。成员 BISR具有来自Affymetrix，Agilent和Illumina的mRNA表达微阵列的经验， 使用质谱或二维聚丙烯酰胺凝胶电泳的蛋白质组学；序列分析 基因表达；组织微阵列；阵列比较基因组杂交；单核苷酸 多态性芯片；甲基化阵列； microRNA阵列；外显子瓷砖阵列；实时聚合酶链 反应;和反相蛋白裂解液阵列。 BISR提供有关选择技术的建议 平台，实验设计，样本量和功率计算，数据预处理，统计 分析和生物信息学解释。资源的服务针对三个目标：（1） 为了确保对M.D. Anderson进行的所有高通量实验进行正确的分析和解释，（2） 在使用这些技术的实验计划和设计中发挥直接作用，（3）提供 生物信息学方法中的教育计划。 在上一个资金期间，BISR协助了来自20个不同计划的244名调查人员。使用 BISR在过去五年中翻了一番，BISR用户的出版物数量增加了 从第一年的33岁到最近一年的65个。将来，我们仍然致力于 为使用尖端技术的实验设计和分析提供支持，并将起作用 与M.D. Anderson研究人员一起了解新技术产生的数据的性质。 在可能的情况下，我们正在通过开发模板中的分析标准化分析和报告生成 Sweave是一种增强统计分析可重复性的工具。我们还计划增强我们的能力 提供基于序列的生物信息学服务，例如CHLP-on-Chip和Motif Finding。最后，我们是 探索整合数据，算法和报告的创新方法。