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Doctoral Training in Bioinformatics

Doctoral Training in Bioinformatics
生物信息学博士培训
批准号:
7449727
负责人:
CHARLES DELISI
金额:
$17.2万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-07-01 至 2009-08-31
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项目摘要

项目成果

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中文摘要
翻译
描述(由申请人提供):基因组学是进化、发育生物学以及更一般地说,在正常和病理状态下细胞的分子生物学方面的革命性研究。它有望通过开发基于分子指纹的新诊断、药物靶点识别和个体化药物来彻底改变医学。这场革命依赖于高吞吐量的实验方法,密切相关的高吞吐量的计算方法-机器学习算法,数理统计等-和现代信息技术,使成千上万的用户之间容易多对多的通信。我们的博士生物信息学计划目前旨在培训两个不同的群体:将成为该领域专业人员的研究人员;即谁将通过开发创造性实验研究所需的新方法来推动它;和生物医学研究人员谁将成为技术的用户。由于计算和实验是紧密耦合的,该计划的所有学生必须在实验台上动手的经验,除了在计算方法的密集培训。认识到这些技术可能对社会结构产生的深远影响,所有学生都必须参加基因组学的法律的和伦理影响的核心,全学分课程。
英文摘要
DESCRIPTION (provided by applicant): Genomics is revolutionizing research in evolution, developmental biology and, more generally, in the molecular biology of the cell in normal and pathological states. It promises to revolutionize medicine by the development of new diagnostics based on molecular fingerprints, the identification of drug targets, and individualized medicine. The revolution rests on high throughput experimental methods, closely associated high throughput computational methods--machine learning algorithms, mathematical statistics and the like---and modem information technologies that permit easy many to many communication between thousands of users. Our Ph.D. Program in Bioinformatics is currently directed at training two different groups: researchers who will become professionals in the field; i.e. who will move it forward by the development of new methods required for creative experimental research; and biomedical researchers who will be users of the technologies. Because computation and experiment are tightly coupled, all students in the Program must have hands on experience at the bench in addition to intensive training in computational methods. In recognition of the profound effect these technologies are likely to have on the social fabric, all students are required to take a core, full-credit course on legal and ethical implications of genomics.
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会议论文
New Methods for Cancer Class Discovery and Prediction: Integration, visualization
New Methods for Cancer Class Discovery and Prediction: Integration, visualization
Computational Methods for Transcriptional Mapping of Eukaryotic Genomes
Visant-Predictome: A System for Integration, Mining, Visualization and Analysis
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