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生物学的变革:从通过实验进行观察到借助计算开展研究。

Biology's transformation: from observation through experiment to computation.

作者信息

Ouzounis Christos A

机构信息

Biological Computation & Computational Biology Group, Artificial Intelligence & Information Analysis Laboratory, School of Informatics, Faculty of Sciences, Aristotle University of Thessalonica, Thessalonica GR-54124, Greece.

出版信息

Bioinform Adv. 2024 May 22;4(1):vbae069. doi: 10.1093/bioadv/vbae069. eCollection 2024.

Abstract

SUMMARY

We explore the nuanced temporal and epistemological distinctions among natural sciences, particularly the contrasting treatment of time and the interplay between theory and experimentation. Physics, an exemplar of mature science, relies on theoretical models for predictability and simulations. In contrast, biology, traditionally experimental, is witnessing a computational surge, with data analytics and simulations reshaping its research paradigms. Despite these strides, a unified theoretical framework in biology remains elusive. We propose that contemporary global challenges might usher in a renewed emphasis, presenting an opportunity for the establishment of a novel theoretical underpinning for the life sciences.

AVAILABILITY AND IMPLEMENTATION

https://github.com/ouzounis/CLS-emerges Data in Json format, Images in PNG format.

摘要

摘要

我们探讨了自然科学之间细微的时间和认识论差异,特别是时间的不同处理方式以及理论与实验之间的相互作用。物理学作为成熟科学的典范,依靠理论模型进行预测和模拟。相比之下,传统上以实验为主的生物学正经历着计算热潮,数据分析和模拟正在重塑其研究范式。尽管取得了这些进展,但生物学中统一的理论框架仍然难以捉摸。我们认为,当代全球挑战可能会重新引发关注,为建立生命科学的新型理论基础提供契机。

可用性与实施方式

https://github.com/ouzounis/CLS-emerges 数据为Json格式,图像为PNG格式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f6c/11127110/81a341cd032e/vbae069f1.jpg

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