PLOS COMPUT BIOL
ISSN：1553-734X E-ISSN：1553-7358 出版商：Public Library of Science 国家：UNITED STATES 周期：Monthly
| 收录情况 | h-index：148 CiteScore：7.30 |
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.
数据整理自公开网络的投稿反馈，仅供参考。
