Genome Biology

official impact factor 6.89
Search for
Advanced search
Genome Biology
Tools
Open Access Highly Access

Coverage and error models of protein-protein interaction data by directed graph analysis

Tony Chiang*, Denise Scholtens, Deepayan Sarkar, Robert Gentleman and Wolfgang Huber

Genome Biology 2007, 8:R186 doi:10.1186/gb-2007-8-9-r186

Accesses  

  • Last 30 days: 30 accesses
  • Last year: 582 accesses
  • All time: 7138 accesses

Cited by

BioMed Central: 3 citations

Research article   Open Access

Triangle network motifs predict complexes by complementing high-error interactomes with structural information

Bill Andreopoulos, Christof Winter, Dirk Labudde, Michael Schroeder BMC Bioinformatics 2009, 10:196 (27 June 2009)

Abstract | Full text | PDF | PubMed

Research   Open Access Highly Accessed

Modeling synthetic lethality

Nolwenn Le Meur, Robert Gentleman Genome Biology 2008, 9:R135 (12 September 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central | F1000 Biology | Editor’s summary

Using new computational tools in yeast, multi-protein complexes were identified that share an unusually high number of synthetic genetic interactions.

Opinion   Free Highly Accessed

Making the most of high-throughput protein-interaction data

Robert Gentleman, Wolfgang Huber Genome Biology 2007, 8:112 (2 November 2007)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central | Editor’s summary

Better methods of statistical analysis could make large-scale protein-interaction data more useful.

Google Scholar: View citations

ISI Web of Science: View citations

PubMed Central: View citations