Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data KP Aßhauer, B Wemheuer, R Daniel, P Meinicke Bioinformatics 31 (17), 2882-2884, 2015 | 1482 | 2015 |
Critical assessment of metagenome interpretation—a benchmark of metagenomics software A Sczyrba, P Hofmann, P Belmann, D Koslicki, S Janssen, J Dröge, ... Nature methods 14 (11), 1063-1071, 2017 | 800 | 2017 |
BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm M Kaper, P Meinicke, U Grossekathoefer, T Lingner, H Ritter IEEE Transactions on biomedical Engineering 51 (6), 1073-1076, 2004 | 685 | 2004 |
Metabolic priming by a secreted fungal effector A Djamei, K Schipper, F Rabe, A Ghosh, V Vincon, J Kahnt, S Osorio, ... Nature 478 (7369), 395-398, 2011 | 663 | 2011 |
Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences F Wemheuer, JA Taylor, R Daniel, E Johnston, P Meinicke, T Thomas, ... Environmental Microbiome 15, 1-12, 2020 | 530 | 2020 |
Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models S Waack, O Keller, R Asper, T Brodag, C Damm, WF Fricke, K Surovcik, ... BMC bioinformatics 7, 1-12, 2006 | 422 | 2006 |
Orphelia: predicting genes in metagenomic sequencing reads KJ Hoff, T Lingner, P Meinicke, M Tech Nucleic acids research 37 (suppl_2), W101-W105, 2009 | 173 | 2009 |
Improving transfer rates in brain computer interfacing: a case study P Meinicke, M Kaper, F Hoppe, M Heumann, H Ritter Advances in Neural Information Processing Systems 15, 2002 | 156 | 2002 |
Identification of novel plant peroxisomal targeting signals by a combination of machine learning methods and in vivo subcellular targeting analyses T Lingner, AR Kataya, GE Antonicelli, A Benichou, K Nilssen, XY Chen, ... The Plant Cell 23 (4), 1556-1572, 2011 | 141 | 2011 |
Gene prediction in metagenomic fragments: a large scale machine learning approach KJ Hoff, M Tech, T Lingner, R Daniel, B Morgenstern, P Meinicke BMC bioinformatics 9, 1-14, 2008 | 140 | 2008 |
Fungal soil communities in a young transgenic poplar plantation form a rich reservoir for fungal root communities L Danielsen, A Thürmer, P Meinicke, M Buee, E Morin, F Martin, G Pilate, ... Ecology and Evolution 2 (8), 1935-1948, 2012 | 113 | 2012 |
The COP9 signalosome mediates transcriptional and metabolic response to hormones, oxidative stress protection and cell wall rearrangement during fungal development K Nahlik, M Dumkow, Ö Bayram, K Helmstaedt, S Busch, O Valerius, ... Molecular microbiology 78 (4), 964-979, 2010 | 108 | 2010 |
UProC: tools for ultra-fast protein domain classification P Meinicke Bioinformatics 31 (9), 1382-1388, 2015 | 104 | 2015 |
MarVis-Pathway: integrative and exploratory pathway analysis of non-targeted metabolomics data A Kaever, M Landesfeind, K Feussner, A Mosblech, I Heilmann, ... Metabolomics 11, 764-777, 2015 | 103 | 2015 |
Sonifications for EEG data analysis T Hermann, P Meinicke, H Bekel, H Ritter, HM Müller, S Weiss Georgia Institute of Technology, 2002 | 91 | 2002 |
Principal surfaces from unsupervised kernel regression P Meinicke, S Klanke, R Memisevic, H Ritter IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (9), 1379-1391, 2005 | 87 | 2005 |
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites P Meinicke, M Tech, B Morgenstern, R Merkl BMC bioinformatics 5, 1-14, 2004 | 84 | 2004 |
Mixture models for analysis of the taxonomic composition of metagenomes P Meinicke, KP Aßhauer, T Lingner Bioinformatics 27 (12), 1618-1624, 2011 | 81 | 2011 |
Remote homology detection based on oligomer distances T Lingner, P Meinicke Bioinformatics 22 (18), 2224-2231, 2006 | 80 | 2006 |
Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detection C Igel, T Glasmachers, B Mersch, N Pfeifer, P Meinicke IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 (2), 216-226, 2007 | 74 | 2007 |