BioData Mining

Search for
Advanced search
BioData Mining
Tools
Share this article
Open Access Highly Access

Using graph theory to analyze biological networks

Georgios A Pavlopoulos*, Maria Secrier, Charalampos N Moschopoulos, Theodoros G Soldatos, Sophia Kossida, Jan Aerts, Reinhard Schneider and Pantelis G Bagos

BioData Mining 2011, 4:10 doi:10.1186/1756-0381-4-10

Accesses  

  • Last 30 days: 440 accesses
  • Last 365 days: 7248 accesses
  • All time: 7531 accesses

Cited by

BioMed Central: 3 citations

Research   Open Access Highly Accessed

A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organization

Johannes Tuikkala, Heidi Vähämaa, Pekka Salmela, Olli S Nevalainen, Tero Aittokallio BioData Mining 2012, 5:2 (26 March 2012)

Abstract | Full text | PDF | PubMed |  Editor’s summary

New multilevel network layout algorithms allow researchers to create biologically relevant and visually pleasing network graphs for large datasets within a multi optimization framework.

Methodology article   Open Access Highly Accessed

Markov Chain Ontology Analysis (MCOA)

H Frost, Alexa T McCray BMC Bioinformatics 2012, 13:23 (3 February 2012)

Abstract | Full text | PDF | PubMed

Technical Note   Open Access

Medusa: A tool for exploring and clustering biological networks

Georgios A Pavlopoulos, Sean D Hooper, Alejandro Sifrim, Reinhard Schneider, Jan Aerts BMC Research Notes 2011, 4:384 (6 October 2011)

Abstract | Full text | PDF | PubMed

Google Scholar: View citations

PubMed Central: View citations