PLoS Computational Biology

PLoS Comput Biol

1553-734X

1553-7358

Therapeutic Area

Biology, Biotechnology, Research

Biologists, Biomedical Engineers/Technologists, Biomedical Researchers, Computer Scientists

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 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.

International Society for Computational Biology (ISCB)

Public Library of Science (PLoS)

Impact Factor JCR Categories/Rank Electronic Circulation Submission to Acceptance Acceptance to Online Publication Rejection Rate Frequency Journal Contact Author Submission Guidelines