Overview
BMC Bioinformatics is an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence,for the modelling and analysis of all kinds of biological data,as well as systems biology.
- Publishes on all aspects of bioinformatics and computational biology.
- Topics include novel computational algorithms and software, models and tools, and more.
- Indexed in PubMed, Scopus, Web of Science (SCIE), DOAJ and more.
- Lead Editor
- Sara Zandomeneghi
Journal metrics
- Journal Impact Factor
- 3.3 (2024)
- 5-year Journal Impact Factor
- 3.5 (2024)
- Submission to first decision (median)
- 5 days
- Downloads
- 7.6M (2024)
Calls for papers
Collection
Predictive toxicology
BMC Bioinformatics is welcoming submissions to our Collection on Predictive toxicology.
- Status
- Open for submissions
- Submission deadline
- 14 August 2026
Collection
Epigenomics
BMC Bioinformatics is welcoming submissions to our Collection on the development of computational approaches in the study of epigenomics.
- Status
- Open for submissions
- Submission deadline
- 16 April 2026
Collection
Extracellular vesicle research
BMC Bioinformatics is welcoming submissions to our Collection on Extracellular vesicles research.
- Status
- Open for submissions
- Submission deadline
- 30 March 2026
Latest articles
Impact of U2-type introns on splice site prediction inA. thaliana species using deep learning
- Espoir Kabanga
- Seonil Jee
- Wesley De Neve
Research Open access 28 November 2025 Article: 288
TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
- Alexandre Chaussard
- Anna Bonnet
- Harry Sokol
Research Open access 28 November 2025Protrack3d: a comprehensive tool for segmentation and tracking of proteins with split and fusion
- Ramu Gautam
- Yang Jiao
- Mei Yang
Software Open access 28 November 2025MOV&RSim: computational modelling of cancer-specific variants and sequencing reads characteristics for realistic tumoral sample simulation
- Francesca Longhin
- Giacomo Baruzzo
- Barbara Di Camillo
Software Open access 27 November 2025 Article: 287
Contrastive learning-based multi-mechanism disentangled assessment for drug-drug interaction
- Jinxiong Zhang
- Yunjv Zeng
- Yang Liu
Research Open access 27 November 2025 Article: 286
Journal updates
Journal information
- Electronic ISSN
- 1471-2105
- Abstracted and indexed in
- ACM Digital Library
- ANVUR
- BFI List
- BIOSIS
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Chemical Abstracts Service (CAS)
- DBLP
- DOAJ
- Dimensions
- EBSCO
- EI Compendex
- EMBiology
- EMCare
- Gale
- GoOA - The Chinese Academy of Sciences (CAS)
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Medline
- Meta
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- PubMedCentral
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- WTI AG
- Wanfang
- eLibrary.ru
- © BioMed Central Ltd., part of Springer Nature