Plos Computational Biology

Journal Title：Plos Computational Biology

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.

PLOS Computational Biology 刊登了具有特殊意义的论文，这些论文通过应用计算方法，进一步加深了我们对各个尺度的生命系统的理解——从分子和细胞到患者群体和生态系统。读者包括生命科学家和计算科学家，他们可以将这里提出的重要发现提升到新的发现水平。

研究文章必须声明为属于相关部分。有关各部分的更多信息，请参阅提交指南。

研究文章应该模拟生物系统的各个方面，展示方法和科学的新颖性，并提供深刻的新生物学见解。

通常，通过计算进行的生物学发现的可靠性和重要性应该通过实验研究进行验证和丰富。发表时不需要包含实验验证，但应尽可能引用。通过计算对一个适度的生物学发现进行实验验证并不能使手稿适合 PLOS Computational Biology。

专门指定为方法论文的研究文章应描述已证明具有特殊重要性的杰出方法，或有望提供新的生物学见解。该方法必须已被广泛采用，或有望被广大用户广泛采用。只有当这些增强功能带来卓越的新功能时，才会考虑对现有已发布方法的增强。

Plos Computational Biology创刊于2005年，由Public Library of Science出版商出版，收稿方向涵盖Environmental Science - Ecology全领域，此刊是该细分领域中属于非常不错的SCI期刊，在行业细分领域中学术影响力较大，专业度认可很高，所以对原创文章要求创新性较高，如果您的文章质量很高，可以尝试。平均审稿速度 32 Weeks ，影响因子指数3.8，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。