Bmc Systems Biology
Overview
BMC Systems Biology is an open-access journal that publishes cutting-edge research in the field of systems biology. It focuses on the study of complex biological systems, integrating experimental and computational approaches to understand the behavior and dynamics of biological networks. The journal covers a wide range of topics, including network modeling, data analysis, synthetic biology, and computational modeling of biological processes. With its interdisciplinary approach, BMC Systems Biology provides a platform for researchers to share their findings and contribute to the advancement of
Details
Details
Abbr.
BMC Syst Biol
Publisher
Biomed Central
Start
2007
End
2019
Frequency
Frequency unknown.
e-ISSN
1752-0509
Country
United Kingdom
Language
English
Specialty
Biology
Recent Articles
1.
Liu G, Ballweg R, Ashbaugh A, Zhang Y, Facciolo J, Cushion M, et al.
BMC Syst Biol
. 2019 Aug;
13(1):40.
PMID: 31405372
It was highlighted that the original article [1] contained errors in the figures and their legends and by extension the in-text figure citations. This Corrections article shows the correct figures...
2.
Xue H, Peng J, Shang X
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):34.
PMID: 30953559
Background: Improving efficiency of disease diagnosis based on phenotype ontology is a critical yet challenging research area. Recently, Human Phenotype Ontology (HPO)-based semantic similarity has been affectively and widely used...
3.
Liu W, Rajapakse J
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):37.
PMID: 30953534
Background: Systematic fusion of multiple data sources for Gene Regulatory Networks (GRN) inference remains a key challenge in systems biology. We incorporate information from protein-protein interaction networks (PPIN) into the...
4.
Sun S, Chen Y, Liu Y, Shang X
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):28.
PMID: 30953530
Background: Single-cell RNA sequencing (scRNAseq) data always involves various unwanted variables, which would be able to mask the true signal to identify cell-types. More efficient way of dealing with this...
5.
Kc K, Li R, Cui F, Yu Q, Haake A
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):38.
PMID: 30953525
Background: The topological landscape of gene interaction networks provides a rich source of information for inferring functional patterns of genes or proteins. However, it is still a challenging task to...
6.
Li X, Lin Y, Gu C, Yang J
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):26.
PMID: 30953512
Background: Biological experiments have confirmed the association between miRNAs and various diseases. However, such experiments are costly and time consuming. Computational methods help select potential disease-related miRNAs to improve the...
7.
Liu L, Liu W, Zheng Y, Chen J, Zhou J, Dai H, et al.
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):29.
PMID: 30953507
Background: Anti-tumor necrosis factor alpha (TNF- α) therapy has made a significant impact on treating psoriasis. Despite these agents being designed to block TNF- α activity, their mechanism of action...
8.
Ye X, Ho J
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):35.
PMID: 30953498
Background: Flow cytometry is a popular technology for quantitative single-cell profiling of cell surface markers. It enables expression measurement of tens of cell surface protein markers in millions of single...
9.
Dutta P, Ma L, Ali Y, Sloot P, Zheng J
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):36.
PMID: 30953496
Background: Major alteration in lifestyle of human population has promoted Type 2 diabetes mellitus (T2DM) to the level of an epidemic. This metabolic disorder is characterized by insulin resistance and...
10.
Tabei Y, Kotera M, Sawada R, Yamanishi Y
BMC Syst Biol
. 2019 Apr;
13(Suppl 2):39.
PMID: 30953486
Background: Characterization of drug-protein interaction networks with biological features has recently become challenging in recent pharmaceutical science toward a better understanding of polypharmacology. Results: We present a novel method for...