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Announcement: BMC Bioinformatics is piloting code peer review with Code Ocean

The Editor of BMC Bioinformatics is delighted to announce a 6 month author opt in pilot in partnership with Code Ocean, to faciliate peer review of source code.

Thematic series: Machine learning for computational and systems biology

BMC Bioinformatics is pleased to announce papers included as part of the thematic series "Machine learning for computational and systems biology" are now being published.

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Aims and scope

BMC Bioinformatics is an open access, peer-reviewed journal  that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.

Editor

  • Alison Cuff, BioMed Central

Manuscript Editor

  • Doris Cuckovic, BioMed Central

Assistant Editor

  • Danielle Talbot, BioMed Central

Section Editors

  • Lukasz KurganVirginia Commonwealth University
  • João SetubalUniversidade de São Paulo
  • Jens Stoye, Universität Bielefeld
  • Karin Verspoor, The University of Melbourne​​​​​​​
  • Jean-Philippe Vert, Mines ParisTech
  • Andrew Cohen, Drexel University
  • Shuiwang Ji, Texas A&M University



Trending BMC Bioinformatics Articles

Click here to view which Articles have been shared the most in the last month!

We are recruiting!

We are currently looking for new Associate Editors to join our team of academic editors, assessing manuscripts in the field of bioinformatics.  We are particularly interested in hearing from researchers specializing in machine learning and artificial intelligence but all applications will be considered. 

Journal Sections

Analysis and modelling of complex systems
Comparative genomics
Data visualization
Imaging, and image analysis 
Knowledge-based analysis
Machine learning and artificial intelligence in bioinformatics
Networks analysis
Novel computational methods for the analysis of biological systems
Proteomics
Sequence analysis 
Structural analysis
Transcriptome analysis

Lukasz Kurgan, Section Editor

Structural analysis


BMC Series Editorial Site

The BMC Series Editorial site serves as a home for editorial board resources and as an online community, facilitating interaction and networking between the editorial board and the BMC series in-house team.

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2018 Journal Metrics

  • Citation Impact
    2.511 - 2-year Impact Factor
    2.970 - 5-year Impact Factor
    0.855 - Source Normalized Impact per Paper (SNIP)
    1.374 - SCImago Journal Rank (SJR)

    Usage 
    4,129,368 downloads

    Social Media Impact
    4446 mentions

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