We are proud to introduce Biological Data, the first specialized journal in Iran dedicated to the dynamic and interdisciplinary field of bioinformatics. As a nexus of cutting-edge research, our journal bridges the gap between biology and computational sciences, fostering innovation across genetics, plant bioinformatics, computational biology, statistics, medicine, agriculture, and beyond.  

The rapid growth of biological data demands advanced analytical tools, novel algorithms, and integrative approaches to unlock its full potential. Biological Data serves as a platform for researchers, scientists, and practitioners to share groundbreaking discoveries, methodologies, and applications that drive progress in life sciences. Whether you are exploring genomic variations, modeling complex biological systems, developing statistical tools, or applying bioinformatics to medical and agricultural challenges, our journal welcomes contributions that push the boundaries of knowledge.  

Founded by a diverse team of experts spanning multiple disciplines, Biological Data embodies collaboration and excellence. We invite you to join us in shaping the future of bioinformatics in Iran and beyond—by submitting your research, engaging in scholarly discourse, and becoming part of a growing community dedicated to transforming data into discovery.  

Why Publish in Biological Data?

Choosing Biological Data for your research ensures a fast, fair, and free publishing experience with exceptional benefits:

✅ Rapid Peer Review – Receive an initial decision within 30 working days, accelerating the dissemination of your findings.

✅ No Publication Fees – Enjoy free submission and open-access publishing with no Article Processing Charges (APCs), making research accessible to all.

✅ Double-Blind Peer Review – Impartial and unbiased evaluation ensures fairness, with both authors and reviewers remaining anonymous.

✅ Interdisciplinary Reach – Gain visibility among biologists, bioinformaticians, data scientists, and computational researchers worldwide.

✅ University-Backed Credibility – Published by the University of Kurdistan, ensuring high academic standards and trust.

✅ Open Access & Global Impact – Your work is freely available to researchers, policymakers, and industry professionals, maximizing reach and citations.

Original Article

Association Rule Mining Reveals IgG–Symptom Relationships in COVID-19 Patients: Insights for Personalized Medicine

Pages 1-19

Hamid Ghaznavi


Review Article

Integrated Computational Frameworks for Multiscale Modeling of Cancer Prevention: A Review

Pages 20-43

Elahe Ghiyabi; Houshang Shaker Nigjeh; Sajjad Mortazavi


Brief Reports

Exploratory Reanalysis of Substantia Nigra Transcriptomes in Parkinson’s Disease

Pages 44-54

Amirhosein Akhoondi; Mostafa Rafeipour; Farinaz Behfarjam


Review Article

COVID-19 Across Disciplines: Mapping Multidisciplinary Research Through Bibliometric Data Analysis

Pages 55-84

Hogr Zainaddeen Hassan; Najmadeen Mohammed Saeed; Sardar Abdullah Husein


Original Article

Revisiting the Sterile Tissue Paradigm: Systematic Re-analysis of Microbial Signals in Germ-Free Mouse Tissues

Pages 86-103

Arash Babaei


Review Article

Hybrid CNN-Transformer Models for ECG-Based Cardiac Diagnosis

Pages 104-135

Samad Najjar-Ghabel; Shamim Yousefi; Soheila Yaghobi Niari


Publisher

Editor-in-Chief Director-in-Charge
Frequency
Quarterly