PLOS计算生物学特性的特殊意义,进一步理解生命系统的尺度从分子和细胞,患者群体和ecosystems-through计算方法的应用。读者包括生活和计算机科学家,谁能把重要的发现这里介绍下一个层次的发现。研究文章必须被声明为属于相关部门。更多的信息可以在提交的部分的指导方针。生物系统的研究文章应该模型方面,论证的方法论和科学新颖,并提供深刻的新生物的见解。一般来说,可靠性和生物发现的意义通过计算应由实验研究验证和丰富。包含实验验证出版不是必需的,但应该尽可能引用。包含实验验证一个温和的生物发现通过计算不呈现一个手稿适合PLOS计算生物学。研究文章专门指定为方法论文应该描述优秀方法已被证明的特殊重要性,或者承诺提供新生物的见解。方法必须已经被广泛采用,或广泛的承诺采用广泛的用户社区。增强现有的发布方法只会被视为如果发挥

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 enhan