Journal Name: Systems and Computational Biology Journal
ISSN:
DOI: 10.31021
Journal Type: Open Access
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The Systems and Computational Biology Journal (SCBJ) is an international, peer-reviewed, open access journal published by Boffin Access Limited. The journal is dedicated to advancing research at the intersection of biology, computation, and systems science. It provides a trusted platform for scientists, bioinformaticians, computational modelers, and systems biologists to publish innovative research that explains complex biological processes using mathematical, computational, and statistical approaches.
By integrating experimental biology with computational frameworks, the Systems and Computational Biology Journal aims to uncover the mechanisms underlying cellular networks, genetic regulation, disease pathways, and biological interactions. The journal encourages cross-disciplinary collaboration between life sciences and computational sciences, empowering researchers to transform biological data into meaningful insights that drive innovation in healthcare, biotechnology, and life science research.
The Systems and Computational Biology Journal (SCBJ), published by Boffin Access Limited, accepts a wide range of scholarly contributions including original research articles, reviews, short communications, perspectives, and technical notes.
Key areas of focus include, but are not limited to:
Computational modeling of biological systems
Systems biology of gene and protein networks
Bioinformatics and computational genomics
Mathematical biology and algorithm development
Machine learning and artificial intelligence in life sciences
Multi-omics data integration (genomics, proteomics, metabolomics)
Network biology and pathway analysis
Disease modeling and systems-based drug discovery
Computational neuroscience and evolutionary systems biology
Simulation tools and novel methodologies for biology
By promoting high-quality interdisciplinary research, the Systems and Computational Biology Journal serves as a valuable resource for advancing predictive biology and accelerating biomedical innovation.
Global Readership – Open access ensures wide visibility across biological and computational science communities.
Rigorous Peer Review – Submissions undergo a double-blind peer review process, focusing on novelty and scientific rigor.
Rapid Publication – Accepted articles are published promptly to disseminate findings without delay.
Interdisciplinary Impact – Bridges biology, computation, mathematics, and medicine to encourage collaborative research.
Innovative Formats – Supports supplementary datasets, algorithms, and software tools alongside research articles.
Author-Centric – Authors retain copyright under Creative Commons licensing, enabling maximum use and citation.
SCINEXI is committed to upholding the integrity and credibility of the scholarly record. In accordance with international publishing ethics, articles may be retracted when found to contain serious errors, evidence of research misconduct, copyright infringement, or plagiarism. Retraction is a necessary step to safeguard academic reliability and to ensure that the literature remains a trustworthy resource for the global research community.
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