Bioinformatics and Diabetes invites high quality submissions that apply bioinformatics and data science to diabetes and metabolic research. We welcome original studies, reviews, and methodological advances that improve discovery, prediction, or clinical translation.

Our editorial focus prioritizes reproducible analytics, transparent reporting, and meaningful biological or clinical interpretation for diabetes prevention, diagnosis, and management.

• Genomic and polygenic risk modeling for diabetes
• Transcriptomics, proteomics, and metabolomics in metabolic disease
• Multi-omics integration and systems biology
• Machine learning for risk stratification and complications
• Clinical decision support and EHR driven insights
• Digital health, wearables, and continuous glucose monitoring analytics
• Biomarker discovery and validation for diabetes progression
• Population health, cohort studies, and real world data
• Drug response prediction and precision medicine
• Data harmonization, FAIR workflows, and reproducible pipelines

• Data resource papers with curated diabetes datasets
• Short communications reporting high impact findings
• Clinical informatics briefs or real world evidence analyses
• Perspectives on emerging bioinformatics challenges

Successful submissions present a clear research question, robust data provenance, and transparent validation. We value studies that demonstrate reproducibility and clinical relevance for diabetes or metabolic care.

Authors should explain novelty, document pipelines, and connect findings to biological mechanisms or clinical decisions.

• Clear data sources, preprocessing, and quality control
• Validation against independent cohorts or benchmarks
• Transparent model evaluation metrics and limitations
• Interpretation that links computation to diabetes outcomes

Submissions undergo editorial screening for scope fit, study design quality, and data transparency. Qualified manuscripts move to single blind peer review with subject matter experts.

JBD operates under an open access model to ensure diabetes bioinformatics research is discoverable and reusable. APCs are applied after acceptance and support peer review, production, and archiving services.

Membership options and affordable APC waivers are available for eligible authors. Contact the editorial office at [email protected] for guidance.

• Scope fit confirmed for bioinformatics and diabetes
• Data availability statement included
• Validation metrics reported
• Code or pipeline documentation prepared
• Cover letter explains novelty and impact

JBD is committed to rigorous, transparent publishing in bioinformatics and diabetes research. We emphasize reproducible computational methods, clear data provenance, and ethical compliance across all article types.

The editorial office supports authors, editors, and reviewers with clear guidance and responsive communication. For questions about scope or workflow, contact [email protected].

We encourage continuous improvement in reporting practices and share updates that help the community maintain high standards in computational and translational diabetes research.