Höhler D - Search Results

1

Methods to assess free radicals and oxidative stress in biological systems.

Rimbach G, Höhler D, Fischer A, Roy S, Virgili F, Pallauf J, Packer L. Rimbach G, et al. Among authors: hohler d. Arch Tierernahr. 1999;52(3):203-22. doi: 10.1080/17450399909386163. Arch Tierernahr. 1999. PMID: 10553486 Review.

2

Dietary effect of phytogenic phytase and an addition of microbial phytase to a diet based on field beans, wheat, peas and barley on the utilization of phosphorus, calcium, magnesium, zinc and protein in piglets.

Pallauf J, Rimbach G, Pippig S, Schindler B, Höhler D, Most E. Pallauf J, et al. Among authors: hohler d. Z Ernahrungswiss. 1994 Jun;33(2):128-35. doi: 10.1007/BF01622225. Z Ernahrungswiss. 1994. PMID: 8079507

3

The effect of energy intake, genotype, and body weight on protein retention in pigs when dietary lysine is the first-limiting factor.

Susenbeth A, Dickel T, Diekenhorst A, Höhler D. Susenbeth A, et al. Among authors: hohler d. J Anim Sci. 1999 Nov;77(11):2985-9. doi: 10.2527/1999.77112985x. J Anim Sci. 1999. PMID: 10568468

4

Metabolism and excretion of ochratoxin A fed to sheep.

Höhler D, Südekum KH, Wolffram S, Frohlich AA, Marquardt RR. Höhler D, et al. J Anim Sci. 1999 May;77(5):1217-23. doi: 10.2527/1999.7751217x. J Anim Sci. 1999. PMID: 10340589

5

Ochratoxin A in food and feed: occurrence, legislation and mode of action.

Höhler D. Höhler D. Z Ernahrungswiss. 1998 Mar;37(1):2-12. doi: 10.1007/pl00007368. Z Ernahrungswiss. 1998. PMID: 9556861

6

Predicting Phylogenetic Bootstrap Values via Machine Learning.

Wiegert J, Höhler D, Haag J, Stamatakis A. Wiegert J, et al. Among authors: hohler d. Mol Biol Evol. 2024 Oct 4;41(10):msae215. doi: 10.1093/molbev/msae215. Mol Biol Evol. 2024. PMID: 39418337 Free PMC article.

7

Simulations of Sequence Evolution: How (Un)realistic They Are and Why.

Trost J, Haag J, Höhler D, Jacob L, Stamatakis A, Boussau B. Trost J, et al. Among authors: hohler d. Mol Biol Evol. 2024 Jan 3;41(1):msad277. doi: 10.1093/molbev/msad277. Mol Biol Evol. 2024. PMID: 38124381 Free PMC article.

8

Adaptive RAxML-NG: Accelerating Phylogenetic Inference under Maximum Likelihood using Dataset Difficulty.

Togkousidis A, Kozlov OM, Haag J, Höhler D, Stamatakis A. Togkousidis A, et al. Among authors: hohler d. Mol Biol Evol. 2023 Oct 4;40(10):msad227. doi: 10.1093/molbev/msad227. Mol Biol Evol. 2023. PMID: 37804116 Free PMC article.

9

From Easy to Hopeless-Predicting the Difficulty of Phylogenetic Analyses.

Haag J, Höhler D, Bettisworth B, Stamatakis A. Haag J, et al. Among authors: hohler d. Mol Biol Evol. 2022 Dec 5;39(12):msac254. doi: 10.1093/molbev/msac254. Mol Biol Evol. 2022. PMID: 36395091 Free PMC article.

10

RAxML Grove: an empirical phylogenetic tree database.

Höhler D, Pfeiffer W, Ioannidis V, Stockinger H, Stamatakis A. Höhler D, et al. Bioinformatics. 2022 Mar 4;38(6):1741-1742. doi: 10.1093/bioinformatics/btab863. Bioinformatics. 2022. PMID: 34962976 Free PMC article.

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