Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.
About the Journal
EJSIR Journal of Biotechnology and Bioinformatics
Explores biotechnology, bioinformatics, biological data science and translational methods. Contributions may develop tools, datasets or applications, with validation, data provenance and limitations reported clearly enough to assess utility and reproducibility.
Journal overview
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.
Academic remit
The journal aims to publish research that advances biotechnology and bioinformatics through sound biological investigation, computational methods and data analysis. It welcomes work in molecular and cellular biology, omics, biological computation and engineered biological systems when the biological or methodological contribution is clear and the evidence supports the conclusions.
Appropriate approaches include experimental biology, assay development, sequence and omics analysis, statistical modelling, bioinformatics, computational pipelines and synthetic biology. Authors should describe samples, controls, preprocessing, analytical choices, software or model versions and validation. Computational findings should be assessed against suitable baselines or independent data when relevant; experimental claims should be supported by appropriate replication and controls.
Studies should address data provenance, reproducibility, biosafety, privacy and applicable ethics or material-transfer requirements. Authors should distinguish exploratory results from validated findings and discuss limitations, uncertainty and alternative explanations.
Routine software descriptions without biological or methodological validation, omics analyses with insufficient quality control, and engineered-biological claims without appropriate evidence fall outside scope. Manuscripts must fit the topics and boundaries described in the journal’s sections.
Published work
Article types
Manuscripts must fit the journal scope and meet the relevant reporting, ethics and evidence requirements.
Synthesizes relevant scholarship to clarify the state of knowledge, compare interpretations and identify well-supported questions for further study.
Uses a clearly defined question and reproducible search, selection and synthesis methods, with the evidence base and limitations reported transparently.
Reports a focused result, observation or method whose concise presentation is useful to the field and supported by appropriate evidence.
Describes a practical method, instrument, workflow or technical refinement, explaining its operation, context and performance or validation.
Develops a reasoned scholarly interpretation of an important topic, distinguishing evidence from opinion and acknowledging relevant uncertainty.
Introduces a research dataset, software or other scholarly resource, documenting its provenance, structure, access conditions and quality checks.