Journal of Biotechnology and Bioinformatics is a journal in the EJSIR Publisher programme focused on biotechnology and bioinformatics. Its sections cover Bioinformatics, Genomics, Proteomics, Systems Biology, Synthetic Biology, Bioprocess Engineering, Computational Drug Discovery, Microbial Biotechnology, Agricultural Biotechnology and Biomedical Data Science. The journal connects biological research and biotechnology with computational, molecular and data-driven methods, while requiring the biological question and methodological contribution to be clearly stated. Submissions may report laboratory experiments, molecular and omics studies, bioinformatics methods, synthetic biology, computational biology or translational applications. Authors should describe samples, assays, datasets, analytical pipelines and validation steps. Claims about biological function, prediction or application should be supported by suitable controls and independent evidence where appropriate. Editorial assessment considers scope, methodological quality, research integrity and clarity. The stated review model is double-anonymous peer review, normally with at least two independent reviewers. Publisher policies on ethics, access, authorship, conflicts, data and corrections apply alongside this journal’s scope. Manuscripts can be submitted only after the journal’s submission route opens.
Choose the area that best describes the manuscript’s main scholarly contribution, then review the linked section scope. A topic match is a starting point; authors should also check the complete aims and scope.
This section covers bioinformatics at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers genomics at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers proteomics at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers systems biology at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers synthetic biology at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers bioprocess engineering at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers computational drug discovery at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers microbial biotechnology at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers agricultural biotechnology at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Read this area’s section scope →This section covers biomedical data science at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
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