Jonas Behr
Jonas Behr
SOPHiA GENETICS, St.-Sulpice, Switzerland
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Cited by
Cited by
Assessment of transcript reconstruction methods for RNA-seq
T Steijger, JF Abril, PG Engström, F Kokocinski, TJ Hubbard, R Guigó, ...
Nature methods 10 (12), 1177-1184, 2013
Multiple reference genomes and transcriptomes for Arabidopsis thaliana
X Gan, O Stegle, J Behr, JG Steffen, P Drewe, KL Hildebrand, R Lyngsoe, ...
Nature 477 (7365), 419-423, 2011
Systematic evaluation of spliced alignment programs for RNA-seq data
PG Engström, T Steijger, B Sipos, GR Grant, A Kahles, G Rätsch, ...
Nature methods 10 (12), 1185-1191, 2013
The SHOGUN machine learning toolbox
S Sonnenburg, G Rätsch, S Henschel, C Widmer, J Behr, A Zien, F Bona, ...
The Journal of Machine Learning Research 11, 1799-1802, 2010
Accurate splice site prediction using support vector machines
S Sonnenburg, G Schweikert, P Philips, J Behr, G Rätsch
BMC bioinformatics 8, 1-16, 2007
Nonsense-Mediated Decay of Alternative Precursor mRNA Splicing Variants Is a Major Determinant of the Arabidopsis Steady State Transcriptome
G Drechsel, A Kahles, AK Kesarwani, E Stauffer, J Behr, P Drewe, ...
The Plant Cell 25 (10), 3726-3742, 2013
Network-based integration of multi-omics data for prioritizing cancer genes
C Dimitrakopoulos, SK Hindupur, L Häfliger, J Behr, H Montazeri, MN Hall, ...
Bioinformatics 34 (14), 2441-2448, 2018
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
Alternative splicing substantially diversifies the transcriptome during early photomorphogenesis and correlates with the energy availability in Arabidopsis
L Hartmann, P Drewe-Boß, T Wießner, G Wagner, S Geue, HC Lee, ...
The Plant Cell 28 (11), 2715-2734, 2016
MITIE: Simultaneous RNA-Seq-based transcript identification and quantification in multiple samples
J Behr, A Kahles, Y Zhong, VT Sreedharan, P Drewe, G Rätsch
Bioinformatics 29 (20), 2529-2538, 2013
Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers
AL Hofmann, J Behr, J Singer, J Kuipers, C Beisel, P Schraml, H Moch, ...
BMC bioinformatics 18, 1-15, 2017
MMR: a tool for read multi-mapper resolution
A Kahles, J Behr, G Rätsch
Bioinformatics 32 (5), 770-772, 2016
Mutational interactions define novel cancer subgroups
J Kuipers, T Thurnherr, G Moffa, P Suter, J Behr, R Goosen, G Christofori, ...
Nature communications 9 (1), 4353, 2018
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
Transcript quantification with RNA-Seq data
R Bohnert, J Behr, G Rätsch
BMC bioinformatics 10 (Suppl 13), P5, 2009
Next generation genome annotation with mGene. ngs
J Behr, R Bohnert, G Zeller, G Schweikert, L Hartmann, G Rätsch
BMC bioinformatics 11, 1-2, 2010
Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
C Dimitrakopoulos, SK Hindupur, M Colombi, D Liko, CKY Ng, ...
BMC genomics 22, 1-26, 2021
Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data
SJ Schultheiss, G Jean, J Behr, R Bohnert, P Drewe, N Görnitz, A Kahles, ...
BMC Bioinformatics 12, 1-2, 2011
mGene: A novel discriminative gene finding system
G Schweikert
2008 Topics Meeting: Worm Genomics and Systems Biology, 2008
mTim: rapid and accurate transcript reconstruction from RNA-Seq data
G Zeller, N Goernitz, A Kahles, J Behr, P Mudrakarta, S Sonnenburg, ...
arXiv preprint arXiv:1309.5211, 2013
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