CRCD: From Sequence to Expression and Structure: An Innovative Research-Oriented Course

0203396马雷克·金梅尔威廉·马什·赖斯大学《生物信息学：从序列到表达和结构。一门创新性的研究导向课程》这个项目的主要目标是教高级学生如何研究计算生物学中的前沿问题。该项目包括开发和传播直接基于领先的多学科研究的创新课程。知道如何识别并致力于解决领先研究问题的毕业生，能够将生物信息学应用于广泛的问题，从而获得显著的好处。除了沉浸在一个新兴的研究领域外，该项目的毕业生可以免费获得该领域的最新知识和技能，他们可能会在劳动力市场上享有竞争优势。为了培养能够领导独立研究的学生，该项目侧重于三个教育成果：1.学生发展这一领域的科学和数学问题解决的元认知知识；2.他们获得领先的生物信息学模型和研究方法的综合知识库，用于基因组和后基因组研究；3.学生提高作为个人和多学科团队的工作能力。为了实现这些目标，该项目在高年级本科生或研究生一级开设了一门生物信息学课程，将尖端研究内容与新颖和独特的教学、评估和传播手段相结合。该课程的长期目标与学生未来的职业生涯有关。工业界和学术界的前沿生物信息学研究已经从DNA序列水平转向对基因表达和相互作用以及生物分子相互作用的探索。参加拟议课程的学生将发展对生物信息学研究和计算生物学的高度理解。

0203396Marek KimmelWilliam Marsh Rice University"Bioinformatics: From Sequence to Expression and Structure. An Inovative Research-Oriented Course"The primary goal of this project is to teach advanced students how to investigate cutting-edge problems in computational biology. The project involves developing and disseminating an innovative course based directly upon leading multidisciplinary research. Graduates who know how to identify and work on solving leading research problems gain the significant benefit of being able to apply bio-informatics to a broad range of problems. In addition to being immersed in a burgeoning research sector, graduates of this program, who have free access to the newest knowledge and skills in the field as it evolves, may enjoy a competitive advantage in the workforce. To produce students capable of leading independent research, the project focuses on three educational outcomes: 1. Students develop meta-cognitive knowledge of scientific and mathematical problem solving in this field, 2. They acquire an integrated knowledge base of leading bio-informatics models and research methods for genomic and post-genomic research, and finally, 3. Students improve at working both as individuals and in multidisciplinary teams. To reach these objectives, the project presents a course in bio-informatics, on a senior undergraduate or graduate level, which integrates cutting-edge research-related content with novel and unique means of teaching, evaluation and dissemination. The long-term goal of the course is related to prospective professional careers of students. The cutting-edge bio-informatics research in industry and academia already is shifting from the DNA sequence level to exploration of gene expression and interaction and bio-molecular interactions. Students enrolled in the proposed course will develop a high level understanding of bio-informatics research and computational biology.