Gabriele Schweikert
Gabriele Schweikert
PI, University of Dundee, UK and Universität Tübingen, Germany
Verified email at - Homepage
Cited by
Cited by
Common sequence polymorphisms shaping genetic diversity in Arabidopsis thaliana
RM Clark, G Schweikert, C Toomajian, S Ossowski, G Zeller, P Shinn, ...
Science 317 (5836), 338, 2007
Accurate splice site prediction using support vector machines
S Sonnenburg, G Schweikert, P Philips, J Behr, G Rätsch
BMC bioinformatics 8 (Suppl 10), S7, 2007
An empirical analysis of domain adaptation algorithms
G Schweikert, C Widmer, B Schölkopf, G Rätsch
Advances in Neural Information Processing System, NIPS, Volume, 2008
mGene: Accurate SVM-based gene finding with an application to nematode genomes
G Schweikert, A Zien, G Zeller, J Behr, C Dieterich, CS Ong, P Philips, ...
Genome research 19 (11), 2133-2143, 2009
Morphological characterization of molecular complexes present in the synaptic cleft
V Lucˇic, T Yang, G Schweikert, F Förster, W Baumeister
Structure 13 (3), 423-434, 2005
MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain
S Lagger, JC Connelly, G Schweikert, S Webb, J Selfridge, ...
PLoS genetics 13 (5), e1006793, 2017
nGASP: the nematode genome annotation assessment project
A Coghlan, TJ Fiedler, SJ McKay, P Flick, TW Harris, D Blasiar, ...
BMC Bioinformatics 9 (1), 549, 2008
Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress
R Van Nues, G Schweikert, E De Leau, A Selega, A Langford, R Franklin, ...
Nature communications 8 (1), 1-18, 2017
MMDiff: quantitative testing for shape changes in ChIP-Seq data sets
G Schweikert, B Cseke, T Clouaire, A Bird, G Sanguinetti
BMC genomics 14 (1), 1-17, 2013
M3D: a kernel-based test for spatially correlated changes in methylation profiles
TR Mayo, G Schweikert, G Sanguinetti
Bioinformatics 31 (6), 809-816, 2015
mGene.web: a web service for accurate computational gene finding
G Schweikert, J Behr, A Zien, G Zeller, CS Ong, S Sonnenburg, G Rätsch
Nucleic acids research 37 (suppl_2), W312-W316, 2009
mRNA cap methyltransferase, RNMT-RAM, promotes RNA Pol II-dependent transcription
D Varshney, O Lombardi, G Schweikert, S Dunn, O Suska, VH Cowling
Cell reports 23 (5), 1530-1542, 2018
Next generation genome annotation with mGene. ngs
J Behr, R Bohnert, G Zeller, G Schweikert, L Hartmann, G Rätsch
BMC bioinformatics 11 (10), 1-2, 2010
DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks
S Lukauskas, R Visintainer, G Sanguinetti, GB Schweikert
BMC bioinformatics 17 (16), 53-63, 2016
Quantitativer Vergleich der Strahlschädigung biologischer Proben im Transmissions-Elektronenmikroskop bei Stickstoff-und Helium-Temperatur
G Schweikert
Technische Universität München, 2004
MMDiff: statistical testing for ChIP-Seq data sets
G Schweikert
R package version 1 (0), 2012
Automated Cryo-ET: State of the Art and Future Perspectives
JM Plitzko, S Nickell, G Schweikert, F Beck, W Baumeister
Microscopy and Microanalysis 11 (S02), 306-307, 2005
Getting Personal with Epigenetics: Towards Machine-Learning-Assisted Precision Epigenomics
A Hawkins-Hooker, G Visonà, T Narendra, M Rojas-Carulla, B Schölkopf, ...
bioRxiv, 2022
Requirement of DNMT1 to orchestrate epigenomic reprogramming for NPM-ALK–driven lymphomagenesis
E Redl, R Sheibani-Tezerji, C de Jesus Cardona, P Hamminger, ...
Life science alliance 4 (2), 2021
16 Genome Annotation with Structured Output Learning
J Behr, G Schweikert, G Rätsch
Advanced Structured Prediction, 389, 2014
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