PLoS Computational Biology

期刊简介：PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines.Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights.Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology.Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.

【译文】PLOS计算生物学特刊突出展示具有非凡意义的研究成果，这些成果有助于我们理解所有尺度上的生命系统——从分子和细胞到患者群体和生态系统——通过应用计算方法。读者包括生命科学和计算科学家，他们可以将这里呈现的重要发现推进到下一个发现阶段。研究文章必须声明属于相关部分。更多关于部分的信息可以在投稿指南中找到。研究文章应模拟生物系统的各个方面，展示方法和科学上的创新，并提供深刻的新的生物学见解。通常，通过计算验证的生物发现的可靠性和重要性应通过实验研究得到验证和丰富。虽然实验验证不是出版所必需的，但应在可能的情况下进行引用。通过计算对适度生物发现的实验验证并不使稿件适合发表在PLOS计算生物学上。特别指定为方法论文的研究文章应描述具有非凡重要性的杰出方法，这些方法已被证明或有望为新的生物学见解提供帮助。该方法必须已经被广泛采用，或者有被广泛用户社区采用的承诺。只有当这些增强带来非凡的新能力时，才会考虑对现有已发表方法的改进。