What We Publish
Submissions in this area should make a clear scientific, engineering, computational, analytical, or interdisciplinary contribution. Suitable research includes:
Bioinformatics, genomics, transcriptomics, proteomics, metabolomics, and multi-omics analysis.
Computational biology, systems biology, network biology, and biological modelling.
Machine learning and data science for biological discovery, classification, prediction, and integration.
Biotechnology, bioprocess engineering, biological sensing, and technology-enabled life-science research.
Biomaterials, computational biomaterials, and interdisciplinary bioengineering studies.
Reproducible pipelines, biological databases, benchmarks, and validated computational resources.
Example Research Directions
The examples below illustrate the type and level of research that can fit this area. They are examples, not a closed list.
Generally Not Suitable
Pure wet-lab biological studies with no computational, engineering, or biotechnology-method contribution.
Routine bioinformatics pipeline use without methodological or biological insight.
Clinical treatment studies that are primarily medical rather than computational or bioengineering research.
Submit to EJSII
Before submission, review the manuscript format, author guidelines, ethics requirements, and journal scope.