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Training in the Genome Sciences and the Hemoglobinopathies

Training in the Genome Sciences and the Hemoglobinopathies
基因组科学和血红蛋白病培训
批准号:
7643451
负责人:
Huntington F Willard
金额:
$7.85万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-05-01 至 2011-04-30

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中文摘要
翻译
_^__ 杜克大学-北卡罗来纳大学教堂山分校(UNC)培训的总体目标 基因组科学和血红蛋白病项目旨在培养一批国内和 “外国博士后成为疾病基础和治疗的杰出研究者” 血红蛋白病。使用基因组学和相关的大规模和高通量方法 基因组科学。每个学员选择的重点领域是否是基因组学。蛋白质组学或 计算生物学以及以后的研究是否基础,翻译!或临床,每个研究员都会 期望获得对基因组科学的广泛和全面的理解,并将其应用于正在进行的研究 血红蛋白病的研究项目。实现这一目标的培训将通过以下方式实现: 高级 课程作业;在基因组学、蛋白质组学和计算实验室进行广泛的轮换;每周一次 基因组科学研究人员参加的座谈会;具有活跃项目的实验室研究 疱疹性肝炎研究;并通过培训具有基因组专业知识的教师来共同指导 科学和血红蛋白病,以培养对多学科的充分认识 本培训计划的性质1。 该培训计划将由杜克大学基因组科学研究所所长和 政策和杜克大学-北卡罗来纳大学综合镰状细胞中心主任。优秀学者将 从杜克大学和杜克大学现有博士后培训机会的强大申请者中筛选出来 和UNG在血液学、输血医学、医学基因组学、血管疾病和基因组方面 科学;从申请者到杜克大学和北卡罗来纳大学的个人导师;以及由经鉴定的申请人 由坦桑尼亚和泰国的同事和合作者组成的国际咨询小组。研究 机会将由超过 25 名杜克大学和北卡罗来纳大学的教职人员提供,这些教职人员在以下领域具有专业知识: 基因组科学和血红蛋白病。 我们将培养一批致力于推进我们的事业的国内外同仁 了解和治疗血红蛋白病。该调查员网络将构成以下研究的基础: 一系列正在进行的国际合作,以减轻这些疾病的痛苦和负担。
英文摘要
_^__ the overall goal of the Duke University - University of North Carolina at Chapel Hill (UNC) Training Program in the Genome Sciences and the HemogloblnopathiesIs to train a cohort of both domestic and 'foreign postdoctoralfellows to be outstanding investigators of the basis for and treatment of the herhoglobinbpathies. using genomlcs and related large-scale and high-throughput approaches in the genome sciences. Whether each trainee's chosen area of focus Is in genomics. proteomics or computational biology and whether one's future research is basic, translations! or clinical, each fellow will be expected to gain a broad and comprehensiveunderstandingof the genome sciences as applied to ongoing research projects In the hemoglobinopathies. Training towards this goal will be achievedthrough: advanced coursework; extensive rotations in genomics, proteomics, and computational laboratories; a weekly colloquium involving researchers in the genome sciences; researchin laboratories with active programs In herhbglbbihopathy research; and co-mentoring by training faculty with expertise both in the genome sciences and in the hemoglobinopathies in order to develop a full appreciation for the multidlsciplinary nature1of this training prograrn. The training programwill be directedjointly by the Director of the Duke Institute for Genome Sciences& Policy and by the Director of the Duke-UNC Comprehensive Sickle Cell Center. Outstandingfellows will be identified from among a strong pool of applicants to existing postdoctoral training opportunities at both Duke and UNG in hematology, transfusion medicine, medical genomics, vascular disease and the genome sciences; from applicantsto Individual mentorsat Duke and UNC; and from applicants identified by an international advisorygroup consisting of colleagues and collaboratorsin Tanzania and Thailand. Research opportunities will be providedby a group of more than 25 Duke and UNC faculty members with expertise in the genome sciences and in the hemoglobinopathies. We will develop a group of domestic andforeign colleagues who are dedicated to advance our understanding and treatment of the hemoglobinopathies. This network of investigators will form the basis for an ongoing series of internationalcollaborationsto reducethe pain and burden of these disorders.
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High-performance Computing System for Bioinformatics
  • 批准号:
    7595665
  • 项目类别:
  • 资助金额:
    $46.14万
  • 财政年份:
    2009
  • 负责人:
    Huntington F Willard
  • 依托单位:
Training in the Genome Sciences and the Hemoglobinopathies
  • 批准号:
    7196328
  • 项目类别:
  • 资助金额:
    $8.97万
  • 财政年份:
    2006
  • 负责人:
    Huntington F Willard
  • 依托单位:
Analysis of Human Centromeres using Novel Artificial Chromosome Vectors
  • 批准号:
    7391601
  • 项目类别:
  • 资助金额:
    $28.78万
  • 财政年份:
    2006
  • 负责人:
    Huntington F Willard
  • 依托单位:
Analysis of Human Centromeres using Novel Artificial Chromosome Vectors
  • 批准号:
    7599187
  • 项目类别:
  • 资助金额:
    $28.78万
  • 财政年份:
    2006
  • 负责人:
    Huntington F Willard
  • 依托单位:
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data