Using graph theory to analyze biological networks

GA Pavlopoulos, M Secrier, CN Moschopoulos… - BioData mining, 2011 - Springer
Understanding complex systems often requires a bottom-up analysis towards a systems
biology approach. The need to investigate a system, not only as individual components but …

Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future

GA Pavlopoulos, D Malliarakis, N Papanikolaou… - …, 2015 - academic.oup.com
Abstract “Α picture is worth a thousand words.” This widely used adage sums up in a few
words the notion that a successful visual representation of a concept should enable easy …

The ocean sampling day consortium

A Kopf, M Bicak, R Kottmann, J Schnetzer, I Kostadinov… - Gigascience, 2015 - Springer
Abstract Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …

CytoCluster: a cytoscape plugin for cluster analysis and visualization of biological networks

M Li, D Li, Y Tang, F Wu, J Wang - International journal of molecular …, 2017 - mdpi.com
Nowadays, cluster analysis of biological networks has become one of the most important
approaches to identifying functional modules as well as predicting protein complexes and …

Detecting protein complexes in protein interaction networks using a ranking algorithm with a refined merging procedure

EM Hanna, N Zaki - BMC bioinformatics, 2014 - Springer
Background Develo** suitable methods for the identification of protein complexes remains
an active research area. It is important since it allows better understanding of cellular …

Construction of dynamic probabilistic protein interaction networks for protein complex identification

Y Zhang, H Lin, Z Yang, J Wang - BMC bioinformatics, 2016 - Springer
Background Recently, high-throughput experimental techniques have generated a large
amount of protein-protein interaction (PPI) data which can construct large complex PPI …

Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions

Y Ozawa, R Saito, S Fujimori, H Kashima, M Ishizaka… - BMC …, 2010 - Springer
Background High-throughput methods for detecting protein-protein interactions enable us to
obtain large interaction networks, and also allow us to computationally identify the …

[HTML][HTML] Network modeling in biology: statistical methods for gene and brain networks

YXR Wang, L Li, JJ Li, H Huang - … science: a review journal of the …, 2021 - ncbi.nlm.nih.gov
The rise of network data in many different domains has offered researchers new insight into
the problem of modeling complex systems and propelled the development of numerous …

Biological information extraction and co-occurrence analysis

GA Pavlopoulos, VJ Promponas, CA Ouzounis… - Biomedical literature …, 2014 - Springer
Nowadays, it is possible to identify terms corresponding to biological entities within
passages in biomedical text corpora: critically, their potential relationships then need to be …

Which clustering algorithm is better for predicting protein complexes?

CN Moschopoulos, GA Pavlopoulos, E Iacucci… - BMC research …, 2011 - Springer
Abstract Background Protein-Protein interactions (PPI) play a key role in determining the
outcome of most cellular processes. The correct identification and characterization of protein …