| 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 | 783 | 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 | 770 | 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 | 604 | 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 | 389 | 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 | 254 | 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 | 237 | 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 | 160 | 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 | 123 | 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 | 90 | 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 | 78 | 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 | 51 | 2017 |
| MMR: a tool for read multi-mapper resolution A Kahles, J Behr, G Rätsch Bioinformatics 32 (5), 770-772, 2016 | 47 | 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 | 39 | 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 | 33 | 2009 |
| Transcript quantification with RNA-Seq data R Bohnert, J Behr, G Rätsch BMC bioinformatics 10 (Suppl 13), P5, 2009 | 30 | 2009 |
| 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 | 18 | 2021 |
| 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 | 13 | 2010 |
| 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 | 6 | 2013 |
| 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 | 6 | 2011 |
| mGene: A novel discriminative gene finding system G Schweikert 2008 Topics Meeting: Worm Genomics and Systems Biology, 2008 | 6 | 2008 |
Gunnar RätschProfessor, ETH ZürichPotvrđena adresa e-pošte na inf.ethz.ch
