BMC Systems Biology

Call for papers: Systems Medicine

New Content Item BMC 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.

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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Behind the Image: a bug’s life

Published on: 15 September 2017
Socio-economic disadvantage and cancer survival disparities

Published on: 14 September 2017
The Martian had a lot of problems. Anemia probably wasn’t one of them.

Published on: 12 September 2017

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.

Editor

Alison Cuff, BioMed Central

Section Editors

Nitin Baliga, Institute for Systems Biology
Christina Chan, Michigan State University
Luonan Chen, Chinese Academy of Sciences
Sang Yup Lee, Korea Advanced Institute of Science and Technology
Pedro Mendes, Univ. of Manchester/Univ. Connecticut Health Center
Matteo Pellegrini, University of California, Los Angeles

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.

Meet our Section Editors

Model of the month

From BioModels at EMBL-EBI

August 2017 by Varun Kothamachu and Rahuman Sheriff

New Content Item

Uhlen et al. 2017 built personalised genome-scale metabolic models for 6753 patients by combining transcriptomics data of tumour samples available from TCGA with generic human metabolic model (HMR2).

Read more about the model here