BMC Systems Biology has now closed. BMC will continue to host an archive of all articles published in BMC Systems Biology and it will remain fully searchable via the BMC website. Please consider submitting to BMC Bioinformatics.
Get credit for your data
Are you holding on to data that you've not yet published? You can get recognition for it by publishing a data note in BMC Research Notes.
Systems Biology and Cancer Metabolism Laboratory, Fabian V. Filipp. CC BY-NC-SA
Featured blog: Systems biology study identifies acquired cancer resistance beyond mutations
Precision targeting offers hope after a life-changing cancer diagnosis. However, some cancers that initially respond to targeted chemotherapy become treatment-resistant — and this may have nothing to do with the drug itself. This blog describes new research helps explain how therapy-resistant cancers arise — findings with important implications for the future of cancer therapy.
Call for papers: Systems Medicine
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.
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.
Read MoreArticles
-
-
Ultrafast clustering of single-cell flow cytometry data using FlowGrid
-
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO
-
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data
-
Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms
-
Tracing regulatory routes in metabolism using generalised supply-demand analysis
-
Biological interaction networks are conserved at the module level
-
Systematic Comparison of C3 and C4 Plants Based on Metabolic Network Analysis
-
A comprehensive map of the influenza A virus replication cycle
-
Bioinformatic analysis of proteomics data
BMC Series blog
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.
Model of the month
November 2018
Proctor (2016) created a model to see the effect ageing and PTH hormone has on the signalling pathways that maintain the bone remodelling process. The authors ran simulations to identify possible treatments to prevent bone loss.
Advertisement
Follow
2017 Journal Metrics
-
Citation Impact
2.05 - 2-year Impact Factor
2.505 - 5-year Impact Factor
0.689 - Source Normalized Impact per Paper (SNIP)
1.109 - SCImago Journal Rank (SJR)Usage
852,052 downloadsSocial Media Impact
523 mentions
Advertisement
