Briefings in Bioinformatics

Aims & Scope

Briefings in Bioinformatics is an international forum for researchers and educators in the life sciences.

The journal will also be of interest to mathematicians, statisticians and computer scientists who apply their work to biological problems.

The journal publishes reviews for the users of databases and analytical tools of contemporary genetics, molecular and systems biology and is unique in providing practical help and guidance to the non-specialist in computerized methodology.

Papers range in scope and depth, from the introductory level to specific details of protocols and analyses encompassing bacterial, plant, fungal, animal and human data.

Detailed subject areas covered by the journal include: genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signalling pathways, structure determination and function prediction, phylogenetic studies and education and training.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science
• Medline
• PubMed

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Biochemistry, Genetics and Molecular Biology and Computer Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 3,885.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment

  Citation: 9254

  Authors: S.

• Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

  Citation: 7698

  Authors: H., J. T., J. P.

• MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

  Citation: 6483

  Authors: Kazutaka, John, Kazunori D

• Recent developments in the MAFFT multiple sequence alignment program

  Citation: 2998

  Authors: K., H.

• MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences

  Citation: 2861

  Authors: S., M., J., K.

• Deep learning for healthcare: review, opportunities and challenges

  Citation: 2001

  Authors: Riccardo, Fei, Shuang, Xiaoqian, Joel T

• oncoPredict: an R package for predicting <i>in vivo</i> or cancer patient drug response and biomarkers from cell line screening data

  Citation: 1207

  Authors: Danielle, Robert F, Rong Stephanie

• A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis

  Citation: 1046

  Authors: M.-A., A., J., C., M., N., C., G., D., J., G., B., L., D., C., B., S., M., F.

• Using Tablet for visual exploration of second-generation sequencing data

  Citation: 855

  Authors: I., G., M., P. J. A., L., L., P. D., D.

• The UCSC genome browser and associated tools

  Citation: 801

  Authors: R. M., D., W. J.