Systems training in maths informatics and computational biology (SySMIC)

数学信息学和计算生物学系统培训 (SySMIC)

• 批准号: BB/I014837/1
• 负责人: Geraint Thomas
• 金额: $ 105.75万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FI014837%2F1
• 关键词: Systems; training; maths; informatics; computational

Amongst others Sir Martin Rees, the President of the Royal Society, has stated that 'the problems of physics are the problems of scale, the problems of biology are the problems of complexity.' This keen insight captures a profound truth about the traditional divide between scientific disciplines. Traditionally mathematics and computing have been powerful allies in the elucidation of the problems of physics but while effective in biology they are not so widely used. For most of modern history the complexity in living systems has not been routinely unapproachable with mathematics and computing - either too little biology was well enough described, the appropriate maths tools did not exist or the performance of computers was too slow. This has all changed recently and now it is time to take maximum advantage. While the BBSRC and other agencies in the UK and institutions around the world have made great investments in specialist research centres it is now time to mobilise the larger mass of UK bioscientists. Biologists of all disciplines, working from the scale of atoms and molecules to that of living ecosystems, must make their contribution and provide their hard-won biological insight to complement the efforts of mathematicians, computer scientists, physicists and engineers who are already exploring the new territory in the emerging discipline of systems biology. To be effective biologists must learn to speak the common language of the physical and engineering science - applied mathematics and computing. They must learn to apply their skills without hesitation and to engage with the other scientific disciplines enthusiastically - SysMIC will start to make this possible. The SysMIC project's over riding aim is to enable rapid and effective 'up-skilling' of a large body of biologists and to accelerate their entry into systems biology and drive the successful study and manipulation of complex biological systems.

皇家学会主席马丁·里斯爵士曾说过：“物理学的问题是规模问题，生物学的问题是复杂性问题。“这种敏锐的洞察力抓住了科学学科之间传统鸿沟的深刻真相。传统上，数学和计算在阐明物理学问题方面一直是强有力的盟友，但尽管在生物学中有效，它们并没有得到广泛的应用。在现代历史的大部分时间里，生命系统的复杂性并不是数学和计算无法解决的--要么是生物学描述得太少，要么是合适的数学工具不存在，要么是计算机的性能太慢。这一切都改变了最近，现在是时候采取最大的优势。虽然BBSRC和英国的其他机构以及世界各地的机构在专业研究中心进行了大量投资，但现在是时候动员更多的英国生物科学家了。所有学科的生物学家，从原子和分子的规模到生命生态系统的规模，都必须做出自己的贡献，并提供他们来之不易的生物学见解，以补充数学家，计算机科学家，物理学家和工程师的努力，他们已经在探索新兴学科系统生物学的新领域。为了提高效率，生物学家必须学会说物理和工程科学的共同语言-应用数学和计算。他们必须学会毫不犹豫地应用他们的技能，并热情地参与其他科学学科- SysMIC将开始使这成为可能。SysMIC项目的首要目标是使大量生物学家能够快速有效地“提高技能”，加速他们进入系统生物学，并推动复杂生物系统的成功研究和操纵。

项目成果

Online and on course

在线和课程中

• 发表时间: 2014
• 作者: Thomas GMH