BMC Systems Biology

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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

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.

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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Content type: Research
| 5 April 2019

Network-based characterization of drug-protein interaction signatures with a space-efficient approach

Authors: Yasuo Tabei, Masaaki Kotera, Ryusuke Sawada and Yoshihiro Yamanishi
Content type: Methods
| 5 April 2019

Ultrafast clustering of single-cell flow cytometry data using FlowGrid

Authors: Xiaoxin Ye and Joshua W. K. Ho
Content type: Research
| 5 April 2019

Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO

Authors: Hansheng Xue, Jiajie Peng and Xuequn Shang
Content type: Research
| 5 April 2019

A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data

Authors: Shiquan Sun, Yabo Chen, Yang Liu and Xuequn Shang
Content type: Research
| 5 April 2019

Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms

Authors: Yangyang Hao, Quan-Yang Duh, Richard T. Kloos, Joshua Babiarz, R. Mack Harrell, S. Thomas Traweek, Su Yeon Kim, Grazyna Fedorowicz, P. Sean Walsh, Peter M. Sadow, Jing Huang and Giulia C. Kennedy

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Content type: Research Article
| 3 December 2015

Tracing regulatory routes in metabolism using generalised supply-demand analysis

Authors: Carl D. Christensen, Jan-Hendrik S. Hofmeyr and Johann M. Rohwer
Content type: Research article
| 23 August 2011

Biological interaction networks are conserved at the module level

Authors: Guy E Zinman, Shan Zhong and Ziv Bar-Joseph
Content type: Proceedings
| 12 December 2012

Systematic Comparison of C3 and C4 Plants Based on Metabolic Network Analysis

Authors: Chuanli Wang, Longyun Guo, Yixue Li and Zhuo Wang
Content type: Database
| 2 October 2013

A comprehensive map of the influenza A virus replication cycle

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
Content type: Review
| 13 March 2014

Bioinformatic analysis of proteomics data

Authors: Andreas Schmidt, Ignasi Forne and Axel Imhof

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BMC Series blog

The importance of negative results for family medicine

12 April 2019
BMC Geriatrics – Highlights of 2018

10 April 2019
Should I, or should I not? The ‘tricky business’ about healthcare decision making

09 April 2019

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

From BioModels at EMBL-EBI

November 2018

New Content Item

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.

Read more about the model here

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BMC Systems Biology

Get credit for your data

Featured blog: Systems biology study identifies acquired cancer resistance beyond mutations

Call for papers: Systems Medicine

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

Articles

Network-based characterization of drug-protein interaction signatures with a space-efficient approach

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

The importance of negative results for family medicine

BMC Geriatrics – Highlights of 2018

Should I, or should I not? The ‘tricky business’ about healthcare decision making

Aims and scope

Editor

Section Editors

Nitin Baliga, Section Editor

Model of the month

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2017 Journal Metrics

BMC Systems Biology

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