Name
Abstract | ||
|---|---|---|
We present a platform for the reconstruction of protein-protein interaction networks inferred from Mass Spectrometry (MS) bait-prey data. The Software Environment for Biological Network Inference (SEBINI), an environment for the deployment of network inference algorithms that use high-throughput data, forms the platform core. Among the many algorithms available in SEBINI is the Bayesian Estimator of Probabilities of Protein-Protein Associations (BEPro3) algorithm, which is used to infer interaction networks from such MS affinity isolation data. Also, the pipeline incorporates the Collective Analysis of Biological Interaction Networks (CABIN) software. We have thus created a structured workflow for protein-protein network inference and supplemental analysis. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1504/IJDMB.2009.029204 | IJDMB |
Keywords | DocType | Volume |
network inference pipeline, protein-protein interactions, networks, MS, mass spectrometry, Bayesian | Journal | 3 |
Issue | ISSN | Citations |
4 | 1748-5673 | 3 |
PageRank | References | Authors |
0.44 | 7 | 16 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronald C. Taylor | 1 | 238 | 19.01 |
| Mudita Singhal | 2 | 475 | 40.59 |
| Don Simone Daly | 3 | 19 | 3.98 |
| Jason Gilmore | 4 | 7 | 0.88 |
| William R. Cannon | 5 | 69 | 10.68 |
| Kelly Domico | 6 | 17 | 2.20 |
| Amanda M. White | 7 | 29 | 5.94 |
| Deanna L. Auberry | 8 | 6 | 1.25 |
| Kenneth J. Auberry | 9 | 7 | 1.50 |
| Brian Hooker | 10 | 4 | 1.20 |
| Gregory B. Hurst | 11 | 7 | 2.32 |
| Jason E. McDermott | 12 | 44 | 7.71 |
| W. Hayes McDonald | 13 | 39 | 6.90 |
| Dale Pelletier | 14 | 6 | 1.26 |
| Denise Schmoyer | 15 | 96 | 12.81 |
| H Steven Wiley | 16 | 60 | 5.77 |