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Results: 1 to 20 of 62

1.

Towards causally cohesive genotype-phenotype modelling for characterization of the soft-tissue mechanics of the heart in normal and pathological geometries.

Nordbø Ø, Gjuvsland AB, Nermoen A, Land S, Niederer S, Lamata P, Lee J, Smith NP, Omholt SW, Vik JO.

J R Soc Interface. 2015 May 6;12(106). pii: 20141166. doi: 10.1098/rsif.2014.1166.

PMID:
25833237
2.

High-throughput biochemical fingerprinting of Saccharomyces cerevisiae by Fourier transform infrared spectroscopy.

Kohler A, Böcker U, Shapaval V, Forsmark A, Andersson M, Warringer J, Martens H, Omholt SW, Blomberg A.

PLoS One. 2015 Feb 23;10(2):e0118052. doi: 10.1371/journal.pone.0118052. eCollection 2015.

3.

150 years of the mass action law.

Voit EO, Martens HA, Omholt SW.

PLoS Comput Biol. 2015 Jan 8;11(1):e1004012. doi: 10.1371/journal.pcbi.1004012. eCollection 2015 Jan.

4.

Concerted evolution of life stage performances signals recent selection on yeast nitrogen use.

Ibstedt S, Stenberg S, Bagés S, Gjuvsland AB, Salinas F, Kourtchenko O, Samy JK, Blomberg A, Omholt SW, Liti G, Beltran G, Warringer J.

Mol Biol Evol. 2015 Jan;32(1):153-61. doi: 10.1093/molbev/msu285. Epub 2014 Oct 27.

PMID:
25349282
5.

A computational pipeline for quantification of mouse myocardial stiffness parameters.

Nordbø O, Lamata P, Land S, Niederer S, Aronsen JM, Louch WE, Sjaastad I, Martens H, Gjuvsland AB, Tøndel K, Torp H, Lohezic M, Schneider JE, Remme EW, Smith N, Omholt SW, Vik JO.

Comput Biol Med. 2014 Oct;53:65-75. doi: 10.1016/j.compbiomed.2014.07.013. Epub 2014 Aug 2.

PMID:
25129018
6.

Evolution evolves: physiology returns to centre stage.

Noble D, Jablonka E, Joyner MJ, Müller GB, Omholt SW.

J Physiol. 2014 Jun 1;592(Pt 11):2237-44. doi: 10.1113/jphysiol.2014.273151. No abstract available.

7.

Arterial stiffening provides sufficient explanation for primary hypertension.

Pettersen KH, Bugenhagen SM, Nauman J, Beard DA, Omholt SW.

PLoS Comput Biol. 2014 May 22;10(5):e1003634. doi: 10.1371/journal.pcbi.1003634. eCollection 2014 May.

8.

A computational analysis of the long-term regulation of arterial pressure.

Beard DA, Pettersen KH, Carlson BE, Omholt SW, Bugenhagen SM.

Version 2. F1000Res. 2013 Oct 8 [revised 2013 Dec 6];2:208. doi: 10.12688/f1000research.2-208.v2. eCollection 2013.

9.

Electrodiffusive model for astrocytic and neuronal ion concentration dynamics.

Halnes G, Ostby I, Pettersen KH, Omholt SW, Einevoll GT.

PLoS Comput Biol. 2013;9(12):e1003386. doi: 10.1371/journal.pcbi.1003386. Epub 2013 Dec 19.

10.

Monotonicity is a key feature of genotype-phenotype maps.

Gjuvsland AB, Wang Y, Plahte E, Omholt SW.

Front Genet. 2013 Nov 7;4:216. doi: 10.3389/fgene.2013.00216. eCollection 2013.

11.

Life-history evolution and the polyphenic regulation of somatic maintenance and survival.

Flatt T, Amdam GV, Kirkwood TB, Omholt SW.

Q Rev Biol. 2013 Sep;88(3):185-218. Review.

PMID:
24053071
12.

Propagation of genetic variation in gene regulatory networks.

Plahte E, Gjuvsland AB, Omholt SW.

Physica D. 2013 Aug 1;256-257:7-20.

13.

Effect of regulatory architecture on broad versus narrow sense heritability.

Wang Y, Vik JO, Omholt SW, Gjuvsland AB.

PLoS Comput Biol. 2013;9(5):e1003053. doi: 10.1371/journal.pcbi.1003053. Epub 2013 May 9.

14.

Ancient evolutionary trade-offs between yeast ploidy states.

Zörgö E, Chwialkowska K, Gjuvsland AB, Garré E, Sunnerhagen P, Liti G, Blomberg A, Omholt SW, Warringer J.

PLoS Genet. 2013 Mar;9(3):e1003388. doi: 10.1371/journal.pgen.1003388. Epub 2013 Mar 21.

15.

Bridging the genotype-phenotype gap: what does it take?

Gjuvsland AB, Vik JO, Beard DA, Hunter PJ, Omholt SW.

J Physiol. 2013 Apr 15;591(Pt 8):2055-66. doi: 10.1113/jphysiol.2012.248864. Epub 2013 Feb 11. Review.

16.

Interpreting genetic effects through models of cardiac electromechanics.

Niederer SA, Land S, Omholt SW, Smith NP.

Am J Physiol Heart Circ Physiol. 2012 Dec 1;303(11):H1294-303. doi: 10.1152/ajpheart.00121.2012. Epub 2012 Oct 5. Review.

17.

From sequence to consequence and back.

Omholt SW.

Prog Biophys Mol Biol. 2013 Apr;111(2-3):75-82. doi: 10.1016/j.pbiomolbio.2012.09.003. Epub 2012 Sep 25.

18.

Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models.

Tøndel K, Indahl UG, Gjuvsland AB, Omholt SW, Martens H.

BMC Syst Biol. 2012 Jul 20;6:88. doi: 10.1186/1752-0509-6-88.

19.

Understanding the melanocyte distribution in human epidermis: an agent-based computational model approach.

Thingnes J, Lavelle TJ, Hovig E, Omholt SW.

PLoS One. 2012;7(7):e40377. doi: 10.1371/journal.pone.0040377. Epub 2012 Jul 9.

20.

Parameters in dynamic models of complex traits are containers of missing heritability.

Wang Y, Gjuvsland AB, Vik JO, Smith NP, Hunter PJ, Omholt SW.

PLoS Comput Biol. 2012;8(4):e1002459. doi: 10.1371/journal.pcbi.1002459. Epub 2012 Apr 5.

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