PLoS Computational Biology 
Journal Title
- PLoS Computational Biology
ISSN
- E 1553-7358 | P 1553-734X | 1553-7358 | 1553-734X
Publisher
- Public Library of Science
Listed on(Coverage)
| JCR | 2005-2019 |
|---|---|
| SJR | 2006-2019 |
| CiteScore | 2011-2019 |
| SCIE | 2010-2021 |
| SCOPUS | 2017-2020 |
| MEDLINE | 2016-2021 |
| DOAJ | 2017-2021 |
| EMBASE | 2016-2020 |
OA Info.
| OA |
based on the information
|
|---|---|
| Keywords | dna sequences, protein structures, biological data |
| Review Process | Peer review |
| Journal info. pages | |
| Licences | CC BY |
| Copyrights | Yes |
| DOAJ Coverage |
|
| Subject(s) | Science: Biology (General) |
Active
- Active
based on the information
- SCOPUS:2020-10
Country
- USA
Aime & Scopes
- 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. Research articles with limited novelty may be more appropriate for PLOS ONE. 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. For all submissions, authors must clearly provide detail, data, and software to ensure readers' ability to reproduce the models, methods, and results. Methods articles and Software articles require presubmission inquiries. Presubmission inquiries for general research articles are encouraged, but not essential.