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BMC Systems Biology

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Featured blog: Predicting advanced coronary calcium using machine learning

One goal of personalized medicine is using data science tools to guide medical decision-making. In this blog post, Cihan Oguz and colleagues describe research published as part of the Systems Medicine thematic series on how they used machine learning tools to develop a predictive model of coronary artery disease.

Call for papers: Systems Medicine

New Content ItemBMC Systems Biology is delighted to announce the launch of a thematic series focused on highlighting original research on the emerging field of 'Systems Medicine', which will review and feature applied translational research on biological mechanisms, including the tailoring of diagnosis, prevention and treatment of disease via a multitude of methods. 

Featured article: Image analysis driven single-cell analytics for systems microbiology

Balomenos et al present BaSCA, a novel Bacterial image analysis driven single-cell analytics pipeline, which enables the high throughput analysis, down to the single-cell level, of complex time lapse cell movies with many colonies and potentially thousands of cells in the field of view. The results presented demonstrate its robustness and universality.

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  1. Content type: Database


    Authors: Yukiko Matsuoka, Hiromi Matsumae, Manami Katoh, Amie J Eisfeld, Gabriele Neumann, Takeshi Hase, Samik Ghosh, Jason E Shoemaker, Tiago JS Lopes, Tokiko Watanabe, Shinji Watanabe, Satoshi Fukuyama, Hiroaki Kitano and Yoshihiro Kawaoka

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Aims and scope

BMC Systems Biology is an open access journal publishing original peer-reviewed research articles in experimental and theoretical aspects of the function of biological systems at the molecular, cellular or organismal level, in particular those addressing the engineering of biological systems, network modelling, quantitative analyses, integration of different levels of information and synthetic biology.


Section Editors

Nitin Baliga, Section Editor

Nitin Baliga serves as Professor at the Institute for Systems Biology, where he was one of the founding members, and currently serves as the Director and Senior Vice President. He leads a cross-disciplinary team of scientists to address complex problems relevant to global health, personalized medicine, energy, and environment. 

Model of the month

From BioModels at EMBL-EBI

November 2017 by Vincent Knight-Schrijver 

​​​​​​​New Content Item​​​​​​​

Bistability of a dynamic heterogenous T cell population may regulate the response to Helicobacter Pylorus infection. In this model, Leber et al (2016) use multiple levels of mechanistic modelling, gene expression data and mathematical analysis to explore the dynamic interplay between two mutually inhibitory T cell subsets.

Read more about the model here

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2016 Journal Metrics

  • Citation Impact
    2.303 - 2-year Impact Factor
    2.526 - 5-year Impact Factor
    0.735 - Source Normalized Impact per Paper (SNIP)
    1.144 - SCImago Journal Rank (SJR)

    1233 Usage Factor

    Social Media Impact
    134 mentions