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Items: 1 to 20 of 33

1.

Genome-wide genetic heterogeneity discovery with categorical covariates.

Llinares-López F, Papaxanthos L, Bodenham D, Roqueiro D; COPDGene Investigators, Borgwardt K.

Bioinformatics. 2017 Feb 14. doi: 10.1093/bioinformatics/btx071. [Epub ahead of print]

PMID:
28200033
2.

easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies.

Grimm DG, Roqueiro D, Salomé PA, Kleeberger S, Greshake B, Zhu W, Liu C, Lippert C, Stegle O, Schölkopf B, Weigel D, Borgwardt KM.

Plant Cell. 2017 Jan;29(1):5-19. doi: 10.1105/tpc.16.00551. Epub 2016 Dec 16.

3.

AraPheno: a public database for Arabidopsis thaliana phenotypes.

Seren Ü, Grimm D, Fitz J, Weigel D, Nordborg M, Borgwardt K, Korte A.

Nucleic Acids Res. 2017 Jan 4;45(D1):D1054-D1059. doi: 10.1093/nar/gkw986. Epub 2016 Oct 24.

4.

Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids.

Seymour DK, Chae E, Grimm DG, Martín Pizarro C, Habring-Müller A, Vasseur F, Rakitsch B, Borgwardt KM, Koenig D, Weigel D.

Proc Natl Acad Sci U S A. 2016 Nov 15;113(46):E7317-E7326. Epub 2016 Nov 1.

5.

Genomic Profiles of Diversification and Genotype-Phenotype Association in Island Nematode Lineages.

McGaughran A, Rödelsperger C, Grimm DG, Meyer JM, Moreno E, Morgan K, Leaver M, Serobyan V, Rakitsch B, Borgwardt KM, Sommer RJ.

Mol Biol Evol. 2016 Sep;33(9):2257-72. doi: 10.1093/molbev/msw093. Epub 2016 May 9.

PMID:
27189551
6.

In silico phenotyping via co-training for improved phenotype prediction from genotype.

Roqueiro D, Witteveen MJ, Anttila V, Terwindt GM, van den Maagdenberg AM, Borgwardt K.

Bioinformatics. 2015 Jun 15;31(12):i303-10. doi: 10.1093/bioinformatics/btv254.

7.

Genome-wide detection of intervals of genetic heterogeneity associated with complex traits.

Llinares-López F, Grimm DG, Bodenham DA, Gieraths U, Sugiyama M, Rowan B, Borgwardt K.

Bioinformatics. 2015 Jun 15;31(12):i240-9. doi: 10.1093/bioinformatics/btv263.

8.

The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity.

Grimm DG, Azencott CA, Aicheler F, Gieraths U, MacArthur DG, Samocha KE, Cooper DN, Stenson PD, Daly MJ, Smoller JW, Duncan LE, Borgwardt KM.

Hum Mutat. 2015 May;36(5):513-23. doi: 10.1002/humu.22768. Epub 2015 Mar 26.

9.

Century-scale methylome stability in a recently diverged Arabidopsis thaliana lineage.

Hagmann J, Becker C, Müller J, Stegle O, Meyer RC, Wang G, Schneeberger K, Fitz J, Altmann T, Bergelson J, Borgwardt K, Weigel D.

PLoS Genet. 2015 Jan 8;11(1):e1004920. doi: 10.1371/journal.pgen.1004920. eCollection 2015 Jan.

10.

Efficient network-guided multi-locus association mapping with graph cuts.

Azencott CA, Grimm D, Sugiyama M, Kawahara Y, Borgwardt KM.

Bioinformatics. 2013 Jul 1;29(13):i171-9. doi: 10.1093/bioinformatics/btt238.

11.

Accurate detection of differential RNA processing.

Drewe P, Stegle O, Hartmann L, Kahles A, Bohnert R, Wachter A, Borgwardt K, Rätsch G.

Nucleic Acids Res. 2013 May 1;41(10):5189-98. doi: 10.1093/nar/gkt211. Epub 2013 Apr 12.

12.

Detecting regulatory gene-environment interactions with unmeasured environmental factors.

Fusi N, Lippert C, Borgwardt K, Lawrence ND, Stegle O.

Bioinformatics. 2013 Jun 1;29(11):1382-9. doi: 10.1093/bioinformatics/btt148. Epub 2013 Apr 4.

PMID:
23559640
13.

Accurate indel prediction using paired-end short reads.

Grimm D, Hagmann J, Koenig D, Weigel D, Borgwardt K.

BMC Genomics. 2013 Feb 27;14:132. doi: 10.1186/1471-2164-14-132.

14.

Geometric tree kernels: classification of COPD from airway tree geometry.

Feragen A, Petersen J, Grimm D, Dirksen A, Pedersen JH, Borgwardt K, de Bruijne M.

Inf Process Med Imaging. 2013;23:171-83.

PMID:
24683967
15.

A Lasso multi-marker mixed model for association mapping with population structure correction.

Rakitsch B, Lippert C, Stegle O, Borgwardt K.

Bioinformatics. 2013 Jan 15;29(2):206-14. doi: 10.1093/bioinformatics/bts669. Epub 2012 Nov 22.

PMID:
23175758
16.

Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis.

Windram O, Madhou P, McHattie S, Hill C, Hickman R, Cooke E, Jenkins DJ, Penfold CA, Baxter L, Breeze E, Kiddle SJ, Rhodes J, Atwell S, Kliebenstein DJ, Kim YS, Stegle O, Borgwardt K, Zhang C, Tabrett A, Legaie R, Moore J, Finkenstadt B, Wild DL, Mead A, Rand D, Beynon J, Ott S, Buchanan-Wollaston V, Denby KJ.

Plant Cell. 2012 Sep;24(9):3530-57. doi: 10.1105/tpc.112.102046. Epub 2012 Sep 28.

17.

GLIDE: GPU-based linear regression for detection of epistasis.

Kam-Thong T, Azencott CA, Cayton L, Pütz B, Altmann A, Karbalai N, Sämann PG, Schölkopf B, Müller-Myhsok B, Borgwardt KM.

Hum Hered. 2012;73(4):220-36. Epub 2012 Sep 4.

PMID:
22965145
18.

ShapePheno: unsupervised extraction of shape phenotypes from biological image collections.

Karaletsos T, Stegle O, Dreyer C, Winn J, Borgwardt KM.

Bioinformatics. 2012 Apr 1;28(7):1001-8. doi: 10.1093/bioinformatics/bts081. Epub 2012 Feb 13.

PMID:
22333244
19.

Spontaneous epigenetic variation in the Arabidopsis thaliana methylome.

Becker C, Hagmann J, Müller J, Koenig D, Stegle O, Borgwardt K, Weigel D.

Nature. 2011 Sep 20;480(7376):245-9. doi: 10.1038/nature10555.

PMID:
22057020
20.

Whole-genome sequencing of multiple Arabidopsis thaliana populations.

Cao J, Schneeberger K, Ossowski S, Günther T, Bender S, Fitz J, Koenig D, Lanz C, Stegle O, Lippert C, Wang X, Ott F, Müller J, Alonso-Blanco C, Borgwardt K, Schmid KJ, Weigel D.

Nat Genet. 2011 Aug 28;43(10):956-63. doi: 10.1038/ng.911.

PMID:
21874002

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