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Scope
Computational Toxicology and Informatics will cover the development, evaluation and application of ‘computational toxicology approaches’ to address different questions in the realm of safety assessment. It will consider the full life cycle of approaches from (1) the collection, curation and data infrastructure associated with the data streams through to (2) the analysis tools and techniques that are used to process the raw data and generated into a form that (3) can be leveraged to uncover new insights to address specific safety assessment questions.
Topics will include:
- Application of computational toxicology approaches to address safety assessment/regulatory applications
- Data collection – data infrastructure issues – curation challenges – availability of open databases
- Data analysis and modelling approaches – machine learning, statistical analysis, natural language processing
- Computational toxicology tools developed and disseminated – with a bias towards open tools
- Software engineering issues – translating models for deployment
This section will aim to accommodate various types of contribution that foster open scientific research by welcoming open data to facilitate reproducibility of results, negative results to avoid duplicative work.
Indexed in: Google Scholar, CrossRef
PMCID: NA
Computational Toxicology and Informatics welcomes submissions of the following article types: Brief Research Report, Correction, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review and Specialty Grand Challenge.
All manuscripts must be submitted directly to the section Computational Toxicology and Informatics, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Computational Toxicology and Informatics will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Toxicology.
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Avenue du Tribunal Fédéral 34
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Switzerland
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For all queries regarding manuscripts in Review and potential conflicts of interest, please contact toxicology.editorial.office@frontiersin.org
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