Using graph theory to analyze biological networks
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 …
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 …
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 …
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …
CytoCluster: a cytoscape plugin for cluster analysis and visualization of biological networks
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 …
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
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 …
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
Background Recently, high-throughput experimental techniques have generated a large
amount of protein-protein interaction (PPI) data which can construct large complex PPI …
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 …
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
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 …
the problem of modeling complex systems and propelled the development of numerous …
Biological information extraction and co-occurrence analysis
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 …
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 …
outcome of most cellular processes. The correct identification and characterization of protein …