Computational Biology

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Publish fast and openly with F1000Research

Computational biology underpins our understanding of life, providing a reference for biological concepts. Ensuring research and data in this area are open access, rapidly available, and reproducible is vital to make new predictions or discover new biology.

F1000Research is the ideal publishing platform for all your biodiversity conservation outputs - from traditional Research Articles, to Software Tool Articles, Data Notes, and Method Articles, which help to tell the full story of your research. We welcome articles covering all areas of computational biology, including:

  • Biological data
  • Biological systems
  • Computational biomodeling
  • Computational evolutionary biology
  • Computational genomics
  • Computational neuropsychiatry
  • Computational neuroscience
  • Computational oncology
  • Computational pharmacology

The wide range of outputs we publish, combined with our progressive Open Data Policy, makes F1000Research the perfect home for your cutting-edge computational biology research.

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Featured Articles

Author Guidelines

Ready to submit your computational biology research? Read our author guidelines now, to ensure you’ve prepared your article correctly for submission to F1000Research.
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RESEARCH ARTICLE

First draft genome assembly of the Argane tree (Argania spinosa) [version 2; peer review: 2 approved]
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SOFTWARE TOOL ARTICLE

BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS [version 2; peer review: 3 approved]
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CORRESPONDENCE

The deep(er) roots of Eukaryotes and Akaryotes [version 2; peer review: 2 approved, 1 approved with reservations]
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SOFTWARE TOOL ARTICLE

MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context [version 2; peer review: 2 approved]
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OPINION ARTICLE

The why, when, and how of computing in biology classrooms [version 2; peer review: 2 approved]
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OPINION ARTICLE

A community proposal to integrate structural bioinformatics activities in ELIXIR (3D-Bioinfo Community) [version 1; peer review: 1 approved, 3 approved with reservations]
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About F1000Research

F1000Research is a fully open access publishing platform, offering rapid publication of articles and other research outputs without editorial bias.

All articles benefit from transparent post-publication peer review, and editorial guidance on making source data openly available.

F1000Research advocates for transparency and reproducibility in research, and our unique publishing model supports this at every stage. Articles can be published in as few as 14 days, with post-publication peer review creating an open dialogue between authors and their research community. This generates feedback which can be used to improve the article and develop the author's skills. 

HOW IT WORKS OUR APCS

Research outputs come in many forms. So do our article types.

At F1000Research, we really hate research waste. That’s why we welcome traditional Research Articles describing confirmatory or negative results, and why we publish null studies. It’s also why we offer a range of less traditional publishing formats, so that all forms of research output can get the credit they deserve. 

Software Tool Articles

These articles describe novel software tools created to support or conduct research in any field, including physical sciences. The articles explain:

  • Why the software was developed
  • Details of the code, method, and analysis used
  • Tips on how to maximize the tool’s potential

Software Tool Articles offer research software engineers a great way to get credit for their work, and increase the visibility of their novel software tools so that other researchers can use them too.

Data Notes

Effective data sharing extends way beyond simply depositing your scientific dataset in a repository. Data Notes make your dataset more discoverable, useable and reproducible by providing a detailed description of the data itself – without any analyses or conclusions. This format gives much-needed credit to data producers who often go unrecognized, and could even support new research collaborations across different fields of study.

Method Article

Method Articles describe new and well tested experimental, observational, theoretical or computational methods or procedures, either quantitative or qualitative. This includes new study methods, substantive modifications to existing methods or innovative applications of existing methods to new models or scientific questions. We welcome technical articles that describe tools that facilitate the design or performance of experiments, provide data analysis features or assist medical treatment.

Research Software Publishing: Challenges & Opportunities

In this presentation Vicky Hellon, Associate Publisher at F1000Research, explores how Software Tool Articles can support research software engineers, including:

  • What challenges face software developers working in research?
  • What does the future of software publishing look like?
  • What are Software Tool Articles on F1000Research?

Ready to submit?

We've prepared guidelines for every article type we publish, from Research Articles to Data Notes. Check the relevant instructions for authors to ensure that you've prepared your paper correctly for submission to F1000Research.
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Download our FAIR Data Guide

Learn more about how to make your data Finable, Accessible, Interoperable, and Reusable, with our quick guide for researchers.
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