Repsilber D - Search Results

1

Serum proteomic profiling at diagnosis predicts clinical course, and need for intensification of treatment in inflammatory bowel disease.

Kalla R, Adams AT, Bergemalm D, Vatn S, Kennedy NA, Ricanek P, Lindstrom J, Ocklind A, Hjelm F, Ventham NT, Ho GT, Petren C, Repsilber D, Söderholm J, Pierik M, D'Amato M, Gomollón F, Olbjorn C, Jahnsen J, Vatn MH, Halfvarson J, Satsangi J. Kalla R, et al. Among authors: d amato m, repsilber d. J Crohns Colitis. 2021 May 4;15(5):699-708. doi: 10.1093/ecco-jcc/jjaa230. J Crohns Colitis. 2021. PMID: 33201212 Free PMC article.

2

Reverse engineering of regulatory networks: simulation studies on a genetic algorithm approach for ranking hypotheses.

Repsilber D, Liljenström H, Andersson SG. Repsilber D, et al. Biosystems. 2002 Jun-Jul;66(1-2):31-41. doi: 10.1016/s0303-2647(02)00019-9. Biosystems. 2002. PMID: 12204440

3

Formation of metastable RNA structures by sequential folding during transcription: time-resolved structural analysis of potato spindle tuber viroid (-)-stranded RNA by temperature-gradient gel electrophoresis.

Repsilber D, Wiese S, Rachen M, Schröder AW, Riesner D, Steger G. Repsilber D, et al. RNA. 1999 Apr;5(4):574-84. doi: 10.1017/s1355838299982018. RNA. 1999. PMID: 10199573 Free PMC article.

4

Data rotation improves genomotyping efficiency.

Repsilber D, Mira A, Lindroos H, Andersson S, Ziegler A. Repsilber D, et al. Biom J. 2005 Aug;47(4):585-98. doi: 10.1002/bimj.200410160. Biom J. 2005. PMID: 16161813

5

Milk metabolites and their genetic variability.

Wittenburg D, Melzer N, Willmitzer L, Lisec J, Kesting U, Reinsch N, Repsilber D. Wittenburg D, et al. Among authors: repsilber d. J Dairy Sci. 2013 Apr;96(4):2557-2569. doi: 10.3168/jds.2012-5635. Epub 2013 Feb 10. J Dairy Sci. 2013. PMID: 23403187 Free article.

6

Investigating associations between milk metabolite profiles and milk traits of Holstein cows.

Melzer N, Wittenburg D, Hartwig S, Jakubowski S, Kesting U, Willmitzer L, Lisec J, Reinsch N, Repsilber D. Melzer N, et al. Among authors: repsilber d. J Dairy Sci. 2013 Mar;96(3):1521-34. doi: 10.3168/jds.2012-5743. J Dairy Sci. 2013. PMID: 23438684 Free article.

7

Detection of divergent genes in microbial aCGH experiments.

Snipen L, Repsilber D, Nyquist L, Ziegler A, Aakra A, Aastveit A. Snipen L, et al. Among authors: repsilber d. BMC Bioinformatics. 2006 Mar 30;7:181. doi: 10.1186/1471-2105-7-181. BMC Bioinformatics. 2006. PMID: 16573812 Free PMC article.

8

Integrating milk metabolite profile information for the prediction of traditional milk traits based on SNP information for Holstein cows.

Melzer N, Wittenburg D, Repsilber D. Melzer N, et al. Among authors: repsilber d. PLoS One. 2013 Aug 21;8(8):e70256. doi: 10.1371/journal.pone.0070256. eCollection 2013. PLoS One. 2013. PMID: 23990900 Free PMC article.

9

Short communication: evaluation of bovine milk residues from routine milk testing programs as DNA source for genotyping.

Krappmann K, Wurmser C, Repsilber D, Fries R, Weikard R, Kesting U, Kühn C. Krappmann K, et al. Among authors: repsilber d. J Dairy Sci. 2012 Sep;95(9):5436-5441. doi: 10.3168/jds.2011-5259. J Dairy Sci. 2012. PMID: 22916950 Free article.

10

Subphenotypes of inflammatory bowel disease are characterized by specific serum protein profiles.

Andersson E, Bergemalm D, Kruse R, Neumann G, D'Amato M, Repsilber D, Halfvarson J. Andersson E, et al. Among authors: d amato m, repsilber d. PLoS One. 2017 Oct 5;12(10):e0186142. doi: 10.1371/journal.pone.0186142. eCollection 2017. PLoS One. 2017. PMID: 28982144 Free PMC article.

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