About the Journal

Bioinformatics & Computational Biology Insights (BCBI)

About the Journal

Bioinformatics & Computational Biology Insights (BCBI) is an open-access, peer-reviewed journal that focuses on advancing research in bioinformatics, computational biology, and data-driven life sciences. The journal provides an international platform for researchers, data scientists, and computational biologists to share findings that enhance understanding of biological systems through computational and quantitative approaches.

BCBI aims to bridge the gap between biological research and computational innovation by publishing studies that integrate algorithms, modeling, data mining, and artificial intelligence in solving complex biological problems. The journal supports the development of reproducible, scalable, and interpretable computational methods that contribute to precision medicine, genomics, and biotechnology.

Scope of the Journal

The journal welcomes original research, reviews, technical papers, and case studies related to computational and data-driven approaches in the biological sciences. Areas of interest include (but are not limited to):

  • Computational genomics, transcriptomics, and proteomics
  • Systems biology and network modeling
  • Structural bioinformatics and molecular simulations
  • AI and machine learning applications in biology
  • Data integration, visualization, and biological databases
  • Computational drug discovery and design
  • Omics data analysis and interpretation
  • Biostatistics, algorithm development, and modeling
  • Biomedical image analysis and pattern recognition
  • Precision medicine, biomarker discovery, and predictive modeling
Publication & Accessibility

BCBI is published under an open-access model, ensuring that all articles are freely accessible to researchers, educators, and professionals worldwide.

The journal operates under the Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction of published content, provided the original source is properly cited.

View CC BY 4.0 License

Peer Review & Editorial Policy

All manuscripts undergo a rigorous double-blind peer-review process to ensure high standards of scientific quality, originality, and reproducibility.

The editorial board consists of experts in bioinformatics, computational biology, and data science, committed to promoting ethical research and transparent publication practices.

Types of Articles Published
  • Original Research Articles
  • Review and Systematic Studies
  • Technical Notes and Methodological Papers
  • Case Studies and Application Reports
  • Short Communications and Perspective Articles