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Daniel G Hurley

Showing results (1-10 of 16) with videos related to

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Briefings in Bioinformatics|September 19, 2014
Predictive modelling of gene expression from transcriptional regulatory elementsDavid M Budden, Daniel G Hurley, Edmund J Crampin
Epigenetics & Chromatin|June 23, 2015
Modelling the conditional regulatory activity of methylated and bivalent promotersDavid M Budden, Daniel G Hurley, Edmund J Crampin
Briefings in Bioinformatics|December 1, 2014
Virtual Reference Environments: a simple way to make research reproducibleDaniel G Hurley, David M Budden, Edmund J Crampin
Plos One|November 22, 2013
Links between the oncoprotein YB-1 and small non-coding RNAs in breast cancerCherie Blenkiron, Daniel G Hurley, Sandra Fitzgerald, et al.
Plos One|August 23, 2013
Integration of steady-state and temporal gene expression data for the inference of gene regulatory networksYi Kan Wang, Daniel G Hurley, Santiago Schnell, et al.
Epigenetics & Chromatin|December 10, 2014
Predicting expression: the complementary power of histone modification and transcription factor binding dataDavid M Budden, Daniel G Hurley, Joseph Cursons, et al.
Bioinformatics (Oxford, England)|May 8, 2015
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Bioinformatics (Oxford, England)|September 24, 2014
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
The Plant Journal : for Cell and Molecular Biology|March 8, 2016
MtVRN2 is a Polycomb VRN2-like gene which represses the transition to flowering in the model legume Medicago truncatulaMauren Jaudal, Lulu Zhang, Chong Che, et al.
Molecular Cancer|November 18, 2016
Systems analysis identifies miR-29b regulation of invasiveness in melanomaMiles C Andrews, Joseph Cursons, Daniel G Hurley, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Briefings in Bioinformatics|September 19, 2014
Predictive modelling of gene expression from transcriptional regulatory elementsDavid M Budden, Daniel G Hurley, Edmund J Crampin
Epigenetics & Chromatin|June 23, 2015
Modelling the conditional regulatory activity of methylated and bivalent promotersDavid M Budden, Daniel G Hurley, Edmund J Crampin
Briefings in Bioinformatics|December 1, 2014
Virtual Reference Environments: a simple way to make research reproducibleDaniel G Hurley, David M Budden, Edmund J Crampin
Plos One|November 22, 2013
Links between the oncoprotein YB-1 and small non-coding RNAs in breast cancerCherie Blenkiron, Daniel G Hurley, Sandra Fitzgerald, et al.
Plos One|August 23, 2013
Integration of steady-state and temporal gene expression data for the inference of gene regulatory networksYi Kan Wang, Daniel G Hurley, Santiago Schnell, et al.
Epigenetics & Chromatin|December 10, 2014
Predicting expression: the complementary power of histone modification and transcription factor binding dataDavid M Budden, Daniel G Hurley, Joseph Cursons, et al.
Bioinformatics (Oxford, England)|May 8, 2015
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Bioinformatics (Oxford, England)|September 24, 2014
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
The Plant Journal : for Cell and Molecular Biology|March 8, 2016
MtVRN2 is a Polycomb VRN2-like gene which represses the transition to flowering in the model legume Medicago truncatulaMauren Jaudal, Lulu Zhang, Chong Che, et al.
Molecular Cancer|November 18, 2016
Systems analysis identifies miR-29b regulation of invasiveness in melanomaMiles C Andrews, Joseph Cursons, Daniel G Hurley, et al.
Pageof 2