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Items: 13

1.

mRNA Cap Methyltransferase, RNMT-RAM, Promotes RNA Pol II-Dependent Transcription.

Varshney D, Lombardi O, Schweikert G, Dunn S, Suska O, Cowling VH.

Cell Rep. 2018 May 1;23(5):1530-1542. doi: 10.1016/j.celrep.2018.04.004.

2.

MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain.

Lagger S, Connelly JC, Schweikert G, Webb S, Selfridge J, Ramsahoye BH, Yu M, He C, Sanguinetti G, Sowers LC, Walkinshaw MD, Bird A.

PLoS Genet. 2017 May 12;13(5):e1006793. doi: 10.1371/journal.pgen.1006793. eCollection 2017 May.

3.

Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress.

van Nues R, Schweikert G, de Leau E, Selega A, Langford A, Franklin R, Iosub I, Wadsworth P, Sanguinetti G, Granneman S.

Nat Commun. 2017 Apr 11;8(1):12. doi: 10.1038/s41467-017-00025-5.

4.

DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks.

Lukauskas S, Visintainer R, Sanguinetti G, Schweikert GB.

BMC Bioinformatics. 2016 Dec 13;17(Suppl 16):447. doi: 10.1186/s12859-016-1306-0.

5.

M3D: a kernel-based test for spatially correlated changes in methylation profiles.

Mayo TR, Schweikert G, Sanguinetti G.

Bioinformatics. 2015 Mar 15;31(6):809-16. doi: 10.1093/bioinformatics/btu749. Epub 2014 Nov 13.

6.

MMDiff: quantitative testing for shape changes in ChIP-Seq data sets.

Schweikert G, Cseke B, Clouaire T, Bird A, Sanguinetti G.

BMC Genomics. 2013 Nov 24;14:826. doi: 10.1186/1471-2164-14-826.

7.

mGene: accurate SVM-based gene finding with an application to nematode genomes.

Schweikert G, Zien A, Zeller G, Behr J, Dieterich C, Ong CS, Philips P, De Bona F, Hartmann L, Bohlen A, Krüger N, Sonnenburg S, Rätsch G.

Genome Res. 2009 Nov;19(11):2133-43. doi: 10.1101/gr.090597.108. Epub 2009 Jun 29.

8.

mGene.web: a web service for accurate computational gene finding.

Schweikert G, Behr J, Zien A, Zeller G, Ong CS, Sonnenburg S, Rätsch G.

Nucleic Acids Res. 2009 Jul;37(Web Server issue):W312-6. doi: 10.1093/nar/gkp479. Epub 2009 Jun 3.

9.

Accurate splice site prediction using support vector machines.

Sonnenburg S, Schweikert G, Philips P, Behr J, Rätsch G.

BMC Bioinformatics. 2007;8 Suppl 10:S7. doi: 10.1186/1471-2105-8-S10-S7.

10.

Common sequence polymorphisms shaping genetic diversity in Arabidopsis thaliana.

Clark RM, Schweikert G, Toomajian C, Ossowski S, Zeller G, Shinn P, Warthmann N, Hu TT, Fu G, Hinds DA, Chen H, Frazer KA, Huson DH, Schölkopf B, Nordborg M, Rätsch G, Ecker JR, Weigel D.

Science. 2007 Jul 20;317(5836):338-42.

11.

Morphological characterization of molecular complexes present in the synaptic cleft.

Lucić V, Yang T, Schweikert G, Förster F, Baumeister W.

Structure. 2005 Mar;13(3):423-34.

12.

Technique for chronic electrode or cannula implantation in decorticate animals.

Wilson JR, Vardaris RM, Schweikert GE 3rd.

Physiol Behav. 1975 Jun;14(6):875-7.

13.

Visual probability learning and reversal in the cat.

Schweikert GE 3rd, Treichler FR.

J Comp Physiol Psychol. 1969 Feb;67(2):269-72. No abstract available.

PMID:
5785616

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