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PLOS Computational Biology 中科院2区 JCR:Q1 JCR:Q2 SCIE EI CA PubMed
发文量 12,028
被引量 503,503
影响因子(2025版) 3.314

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.

  • 主办单位: PUBLIC LIBRARY SCIENCE
  • 出版地区: SAN FRANCISCO
  • 出版周期: 月刊
  • 别名: PLOS COMPUT BIOL;PLoS Comput. Biol.;PLoS Computational Biology;公共科学图书馆·计算生物学;PLoS computational biology.;PLOS COMPUTATIONAL BIOLOGY
  • 国际标准连续出版物号/电子版 ISSN 1553-734X / EISSN 1553-7358
  • 创刊时间: 2005年
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2025年12期
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2025年12期

2025年12期