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1
The Genome-Wide Interaction Network of Nutrient Stress Genes in Escherichia coli
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The Genome-Wide Interaction Network of Nutrient Stress Genes in Escherichia coli

Côté, Jean-Philippe ; French, Shawn ; Gehrke, Sebastian S ; MacNair, Craig R ; Mangat, Chand S ; Bharat, Amrita ; Brown, Eric D Dunman, Paul

mBio, 2016-11, Vol.7 (6) [Periódico revisado por pares]

United States: American Society for Microbiology

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2
Oxidative Stress in Neurodegeneration
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Oxidative Stress in Neurodegeneration

Shukla, Varsha ; Mishra, Santosh K. ; Pant, Harish C. Dwyer, Donard S.

Advances in Pharmacological Sciences, 2011-01, Vol.2011, p.572634-13

United States: Hindawi Limiteds

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3
Effectiveness of a Medication Reconciliation Project Conducted by PharmD Students
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Effectiveness of a Medication Reconciliation Project Conducted by PharmD Students

Lubowski, Teresa J. ; Cronin, Laurie M. ; Pavelka, Robert W. ; Briscoe-Dwyer, Leigh A. ; Briceland, Laurie L. ; Hamilton, Robert A

American journal of pharmaceutical education, 2007-09, Vol.71 (5), p.94 [Periódico revisado por pares]

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4
The effects of maternal anxiety during pregnancy on IGF2/H19 methylation in cord blood
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Artigo
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The effects of maternal anxiety during pregnancy on IGF2/H19 methylation in cord blood

Mansell, T ; Novakovic, B ; Meyer, B ; Rzehak, P ; Vuillermin, P ; Ponsonby, A-L ; Collier, F ; Burgner, D ; Saffery, R ; Ryan, J

Translational psychiatry, 2016-03, Vol.6 (3), p.e765-e765 [Periódico revisado por pares]

United States: Nature Pub. Group

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5
Genome-wide meta-analysis implicates mediators of hair follicle development and morphogenesis in risk for severe acne
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Artigo
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Genome-wide meta-analysis implicates mediators of hair follicle development and morphogenesis in risk for severe acne

Petridis, Christos ; Navarini, Alexander A ; Dand, Nick ; Saklatvala, Jake ; Baudry, David ; Duckworth, Michael ; Allen, Michael H ; Curtis, Charles J ; Lee, Sang Hyuck ; Burden, A David ; Layton, Alison ; Bataille, Veronique ; Pink, Andrew E ; Carlavan, Isabelle ; Voegel, Johannes J ; Spector, Timothy D ; Trembath, Richard C ; McGrath, John A ; Smith, Catherine H ; Barker, Jonathan N ; Simpson, Michael A

Nature communications, 2018-12, Vol.9 (1), p.5075-8, Article 5075 [Periódico revisado por pares]

England: Nature Publishing Group

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6
Measurement of Epstein-Barr virus DNA load using a novel quantification standard containing two EBV DNA targets and SYBR Green I dye
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Measurement of Epstein-Barr virus DNA load using a novel quantification standard containing two EBV DNA targets and SYBR Green I dye

Lay, Meav-Lang J ; Lucas, Robyn M ; Ratnamohan, Mala ; Taylor, Janette ; Ponsonby, Anne-Louise ; Dwyer, Dominic E

Virology journal, 2010-09, Vol.7 (1), p.252-252, Article 252 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
Runs of homozygosity implicate autozygosity as a schizophrenia risk factor
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Runs of homozygosity implicate autozygosity as a schizophrenia risk factor

Keller, Matthew C ; Simonson, Matthew A ; Ripke, Stephan ; Neale, Ben M ; Gejman, Pablo V ; Howrigan, Daniel P ; Lee, Sang Hong ; Lencz, Todd ; Levinson, Douglas F ; Sullivan, Patrick F Gibson, Greg

PLoS genetics, 2012-04, Vol.8 (4), p.e1002656-e1002656 [Periódico revisado por pares]

United States: Public Library of Science

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8
Engineering Exosomes for Cancer Therapy
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Engineering Exosomes for Cancer Therapy

Gilligan, Katie E ; Dwyer, Róisín M

International journal of molecular sciences, 2017-05, Vol.18 (6), p.1122 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Inhibition of IRE1 RNase activity modulates the tumor cell secretome and enhances response to chemotherapy
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Inhibition of IRE1 RNase activity modulates the tumor cell secretome and enhances response to chemotherapy

Logue, Susan E ; McGrath, Eoghan P ; Cleary, Patricia ; Greene, Stephanie ; Mnich, Katarzyna ; Almanza, Aitor ; Chevet, Eric ; Dwyer, Róisín M ; Oommen, Anup ; Legembre, Patrick ; Godey, Florence ; Madden, Emma C ; Leuzzi, Brian ; Obacz, Joanna ; Zeng, Qingping ; Patterson, John B ; Jäger, Richard ; Gorman, Adrienne M ; Samali, Afshin

Nature communications, 2018-08, Vol.9 (1), p.3267-14, Article 3267 [Periódico revisado por pares]

England: Nature Publishing Group

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10
Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events
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Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events

O'Gorman, Paul A. ; Dwyer, John G.

Journal of advances in modeling earth systems, 2018-10, Vol.10 (10), p.2548-2563 [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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