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Inferring ancestral states of the bZIP transcription factor interaction network
Published on Sep 07, 20072820 Views
As whole-genome protein interaction network datasets become available for a wide range of species, evolutionary biologists have the opportunity to address some of the unanswered questions surrounding
Chapter list
Inferring ancestral states of the bZIP transcription factor interaction network00:00
Networks in computational biology01:08
Network evolution02:05
Network inference03:22
Network inference by probabilistic methods03:59
bZIP transcription factors04:22
bZIP transcription factors06:09
The Victoria University of ManchesterbZIP interactions07:49
Genomic data09:04
Reconciling gene and species trees10:41
From gene trees to interaction trees12:03
From an interaction tree to a probabilistic model13:52
Probabilistic model parameters15:12
Estimating rates of network re-wiring15:31
Results: Vertebrate16:52
Adding noise to the input data18:10
ROC curves: Vertebrata (noise added to inputs)18:23
Using probabilistic inference to clean noisy interaction data18:52
Conclusions18:55
Acknowledgements20:00