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):

• Predictive and quantitative biology
• Statistical modelling & machine learning
• Aging clocks
• Regulatory - Functional - Comparative - genomics
• Data integration (bulk, spatial or single-cell omics, ...)
• Network and pathways inference
• Genome-wide association studies
• Drugs or biomarkers discovery