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Review
. 2013 Apr 15:11:43.
doi: 10.1186/1741-7007-11-43.

Systematic curation of protein and genetic interaction data for computable biology

Kara Dolinski  1 , Andrew Chatr-Aryamontri, Mike Tyers
Affiliations
Review

Systematic curation of protein and genetic interaction data for computable biology

Kara Dolinski et al. BMC Biol. .
No abstract available

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Figures

Figure 1
Figure 1
Growth of the interaction hairball. (a) Network graph representation of the BioGRID interaction dataset in 2006 representing 157,123 genetic and physical interactions. (b) Network graph representation of the BioGRID interaction dataset in 2013 representing 638,453 genetic and physical interactions. Both graphs are scaled down to 1/30th of actual size to simplify the representation. Datasets were drawn from BioGRID releases 2.0.18 for 2006 and 3.2.97 for 2013. Graphical representations were built using the Cytoscape visualization platform.
Figure 2
Figure 2
The inflationary publication problem. (a) Accumulation of total protein and genetic interactions for all species in BioGRID over time. The number of publications from which the interactions are derived is also shown. (b) Increase in publications likely to contain interaction data in PubMed over time versus actual publications curated for interactions across all species in BioGRID. Estimation of PubMed entries likely to contain interaction data was performed using the Protein Interaction Information Extraction (PIE) text-mining web application.
See this image and copyright information in PMC

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