BACKGROUND: Network is a useful way for presenting many types of biological data including protein-protein interactions, gene regulations, cellular pathways, and signal transductions. We can measure nodes by their network features to infer their importance in the network, and it can help us identify central elements of biological networks. RESULTS: We introduce a novel Cytoscape…
BMC Systems Biology Template
Write in a clean editor, then format for BMC Systems Biology in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the BMC Systems Biology format
BMC Systems Biology is a peer-reviewed journal published by Springer Nature, covering Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis, Microbial Metabolic Engineering and Bioproduction.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. BMC Systems Biology 12, 45–58 (2023).
Formats any DOI in BMC Systems Biology style. No sign-up. |
| Publishes research in | Bioinformatics and Genomic Networks Gene Regulatory Network Analysis Microbial Metabolic Engineering and Bioproduction Gene expression and cancer classification Machine Learning in Bioinformatics |
| ISSN | 1752-0509 |
| h-index | 123 |
| i10-index | 1,604 |
| Total citations | 93,298 |
| Open access | Yes |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.biomedcentral.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in BMC Systems Biology per year
Citation impact of BMC Systems Biology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in BMC Systems Biology
BACKGROUND: COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. Due to the successes with metabolism, there is an increasing effort to apply COBRA methods to reconstruct and analyze integrated models of cellular processes. The COBRA Toolbox for MATLAB is a leading software package…
BACKGROUND: There is evidence that genes and their protein products are organized into functional modules according to cellular processes and pathways. Gene co-expression networks have been used to describe the relationships between gene transcripts. Ample literature exists on how to detect biologically meaningful modules in networks but there is a need for methods that allow…
BACKGROUND: Quantitative models of biochemical and cellular systems are used to answer a variety of questions in the biological sciences. The number of published quantitative models is growing steadily thanks to increasing interest in the use of models as well as the development of improved software systems and the availability of better, cheaper computer hardware.…
BACKGROUND: Mathematical modelling of cellular networks is an integral part of Systems Biology and requires appropriate software tools. An important class of methods in Systems Biology deals with structural or topological (parameter-free) analysis of cellular networks. So far, software tools providing such methods for both mass-flow (metabolic) as well as signal-flow (signalling and regulatory) networks…