At the University of Kurdistan, 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.

🚀 Submit your manuscript and join a growing community of innovators shaping the future of biological data science!