The journal
Systems Aging is an Open Access Peer-reviewed journal
on the topic of Computational and Systems Aging biology.
We are dedicated to maintaining the highest epistemic standards,
which is why we put a great emphasis on research hypotheses,
negative results and reproducibility in our editorial and open
peer-review process.
We promote the publication of articles written in accessible,
clear, engaging and yet precise language.
Aims & Scope
Systems Aging accepts articles focusing on understanding the fundamental causes of aging, age-related diseases and the regulation of longevity through the use of computational and systems approaches. We are particularly interested in submissions investigating the essence of aging from a causal perspective, and invite for articles with elements of (but not limited to):
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Predictive and quantitative biology
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Statistical modelling & machine learning
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Aging clocks
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Regulatory - Functional - Comparative - genomics
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Data integration (bulk, spatial or single-cell omics, ...)
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Network and pathways inference
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Genome-wide association studies
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Drugs or biomarkers discovery