Bioinformatics

生物信息学共享资源(BISR)的任务是提供生物信息和生物统计 为临床、实验室和预防提供协作、咨询和量化研究资源 从事计划、实施、分析和解释使用现代技术进行研究的科学家 来自分子生物学的高通量技术。此外，BISR的成员与 肿瘤学研究科学家开发生物信息学和生物统计学方法来提高研究效率 当前和未来的基础科学、治疗、诊断、预防和干预研究。成员： BISR有来自Affymetrix、Agilent和Illumina信使核糖核酸表达微阵列经验， 使用质谱学或双向聚丙烯酰胺凝胶电泳法的蛋白质组学.系列分析 基因表达谱；组织芯片；阵列比较基因组杂交；单核苷酸 多态芯片；甲基化阵列；微RNA阵列；外显子拼接阵列；实时聚合酶链式反应 反相蛋白质裂解物阵列。BISR提供选择技术的建议 平台、实验设计、样本量和功率计算、数据预处理、统计学 分析和生物信息学解释。资源的服务有三个目标：(1) 为了确保M.D.安德森的所有高通量实验都得到适当的分析和解释，(2) 在使用这些技术的实验的计划和设计中发挥直接作用，以及(3)提供 生物信息学方法方面的教育项目。 在之前的资助期间，BISR协助了来自20个不同项目的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人减少到最近一年的65人。在未来，我们将继续致力于 为使用尖端技术设计和分析实验提供支持，并将发挥作用 与M.D.安德森的研究人员一起了解由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来标准化我们的分析和报告生成 Sweave，一种提高统计分析重现性的工具。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，如ChlP-on-Chip和Motif查找。最后，我们是 探索集成数据、算法和报告的创新方式。

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.