Bioformatics

生物信息学

• 批准号: 8136988
• 负责人: Jean-Pierre A Kocher
• 金额: $ 24.78万
• 依托单位: MAYO CLINIC ROCHESTER
• 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/8136988
• 关键词: Accounting; Address; Area; Arts; Atlases; Bioinformatics; Biological; Cancer Center; Clinic; Collaborations; Complement; Computers; Copy Number Polymorphism; Data; Data Analyses; Data Set; Databases; Development; Education; Educational Activities; Ensure; Evaluation; Extramural Activities; Fees; Gene Expression; Genes; Genomics; Genotype; Goals; Human Resources; Institution; Knowledge; Licensing; Mayo Clinic Cancer Center; Methods; Mining; Mission; Molecular Profiling; Outcome; Pathway Analysis; Pathway interactions; Patient Care; Proteomics; Quality Control; Reproduction spores; Research Infrastructure; Research Personnel; Resource Sharing; Sampling; Scientist; Sequence Analysis; Services; Site; Source; System; Techniques; Technology; Training Programs; Validation; Work; analytical method; cancer Biomedical Informatics Grid; cancer genome; cancer genomics; commercial application; comparative genomics; data integration; data management; data mining; design; improved; infrastructure development; method development; novel; open source; programs; repository; research study; tool

Formally established by the institution in 2006 to address the growing demand for bioinformatics expertise at Mayo Clinic, the Bioinformatics Core Shared Resource (BIC) is a new shared resource of the Cancer Center. The mission of the Shared Resource is to assist Mayo Clinic Cancer Center (MCCC) investigators in leveraging intramural and extramural sources of biological information to promote discoveries that will impact patient care. To this end, the BIC offers a suite of services to support investigators with the manipulation, preprocessing, and interpretation of genomics, microarray, and proteomics data. These services include: sequence analysis and comparative genomics; gene and SNP selection for association studies; data parsing and formatting; gene ID conversion, biological pathway and networks analysis; data preprocessing; including quality control; and management and education regarding public and local databases and bioinformatics applications. BIC has assembled a team of 13 computer scientists and 12 bioinformatics experts who work collaboratively with biostatisticians to provide analytical support to investigators at all three Mayo campuses. NCI related goals for bioinformatics is assured by dedicated Shared Resource support for the evaluation and integration of caBIG projects into Mayo's infrastructure. BIC provides critical 'value-add' to MCCC investigators in providing (i) investigator support during planning and execution of high throughput experiments; (ii) development of bioinformatics tools and education programs; and (iii) infrastructure for experimental techniques and analytical methods validation, including quality control workflows for genotyping data, preprocessing workflows for gene expression profiles, validation of copy number variation, and high throughput sequencing; and platforms for data integration and mining. Over the past year, BIC has supported 36 MCCC investigators, accounting for more than 50% of the Shared Resource's total usage, and offered 22 classes and training programs attended by more than 40 MCCC investigators and personnel.

该机构于2006年正式建立，以解决对生物信息学专业知识不断增长的需求 Mayo Clinic，生物信息学核心共享资源（BIC）是癌症中心的新共享资源。 共享资源的使命是协助梅奥临床癌症中心（MCCC）研究人员 利用生物信息的壁内和壁外来源来促进会影响的发现 病人护理。为此，BIC提供了一套服务，以支持调查人员进行操纵， 基因组学，微阵列和蛋白质组学数据的预处理和解释。这些服务包括： 序列分析和比较基因组学；基因和SNP选择用于关联研究；数据解析 和格式化；基因ID转换，生物途径和网络分析；数据预处理；包括 质量控制；以及有关公共和本地数据库以及生物信息学的管理和教育 申请。 BIC组成了一个由13位计算机科学家和12位生物信息学专家组成的团队，他们合作地工作 与生物统计学家一起为所有三个梅奥校园的研究人员提供分析支持。 NCI相关目标 对于生物信息学，可以通过专门的共享资源支持来评估和集成Cabig 项目进入梅奥的基础架构。 BIC向MCCC调查人员提供关键的“增值”，以提供（i） 在计划和执行高通量实验的过程中，研究者的支持； （ii）开发 生物信息学工具和教育计划； （iii）实验技术和分析的基础架构 方法验证，包括用于基因分型数据的质量控制工作流程，基因的预处理工作流程 表达式曲线，验证数量变化的验证以及高吞吐量测序；和平台 数据集成和采矿。 在过去的一年中，BIC支持36位MCCC调查人员，占共享的50％以上 资源的总使用量，并提供了40多个MCCC参加的22个课程和培训计划 调查人员和人员。