Core--Informatics and statistical genetics

核心--信息学和统计遗传学

• 批准号: 7844962
• 负责人: NICHOLAS Joseph SCHORK
• 金额: $ 24.11万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7844962
• 关键词: Area; Biochemistry; Bioinformatics; Biological Assay; Blood Pressure; Computational Biology; Computer Simulation; Data Analyses; Databases; Development; Docking; Experimental Designs; Genes; Genetic; Genetic Polymorphism; Genomics; Genotype; Haplotypes; Human; Individual; Informatics; Maps; Methodology; Methods; Molecular; Nature; Neuroeffector Junction; Operative Surgical Procedures; Phenotype; Polymorphism Analysis; Population Genetics; Program Research Project Grants; Proteins; Research; Research Personnel; Research Project Grants; Sampling; Sampling Studies; Sequence Analysis; Stratification; Twin Multiple Birth; assay development; design; human subject; mathematical model; member; novel; research study; web site

The Informatics and Statistical Genetics Core (ISGC) of the Program Project Grant (PPG) research will provide novel methodological developments and guidance in a number of areas of relevance to bioinformatics, computational biology, mathematical modeling, data analysis, and population genetics aspects of the PPG. The ISGC researchers will include members of the research teams involved in the 6 applied projects associated with the Consortium as well as additional Consortium members. The specific aims of the ISGC are to: Provide applied bioinformatics and sequence analysis support to he PPG in conjunction with the Molecular Genomics Core (MGC), by overseeing and implementing a variety of operations, e.g., database searches for polymorphism information, flanking sequence identification for genotyping assay development, homology searches for novel sequence findings, evolutionary analysis of sequence information, etc. Provide computational biology support and in silico analysis of polymorphism in the genes chosen for study. These activities include mapping non-synonymous cSNPs onto proteins, where appropriate, and assessing protein interactions via docking experiments, as well as maintaining a WEB site supplying relevant information detailing these activities in order to serve the PPG research broadly. Provide data analysis support and, in particular, novel data analysis methodology development in areas such as haplotype analysis, epistatic interaction analysis, twin analysis, etc. Provide design, oversight, and interpretation of population genetic assays, most notably those used to assess potential genetic stratification and cryptic sample substructure with the study samples. Although we detail activities of the ISGC below, we want to emphasize that some information provided by the ISGC, as well as additional information of relevance to the ISGC, has been integrated into the descriptions of the MGC, the Human Phenotyping/twins Core, the Biochemistry Core, the Administrative Core (AC), as well as the 6 individual research projects. Given page limitations and the nature of the ISGC activities, we have combined the Preliminary Studies and Experimental Design and Methods Sections (sections C and D) and focus on organization in section B, below, and omit sections on Human Subjects, etc. normally at the end of the proposal.

信息学和统计遗传学核心（ISGC）的计划项目资助（PPG）的研究将提供新的方法发展和指导，在生物信息学，计算生物学，数学建模，数据分析，以及PPG的群体遗传学方面的一些相关领域。ISGC研究人员将包括参与与该联盟相关的6个申请项目的研究小组成员以及其他联盟成员。ISGC的具体目标是：通过监督和实施各种操作，为PPG与分子基因组学核心（MGC）一起提供应用生物信息学和序列分析支持，例如：