Peter Meinicke
Peter Meinicke
Senior Scientist, University of Goettingen
Verified email at - Homepage
Cited by
Cited by
Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data
KP Aßhauer, B Wemheuer, R Daniel, P Meinicke
Bioinformatics 31 (17), 2882-2884, 2015
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
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
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
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
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), 1-12, 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
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, 1131-1138, 2003
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), 1-14, 2008
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
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
Sonification for eeg data analysis
T Hermann, P Meinicke, H Bekel, H Ritter, HM Müller, S Weiss
Proceedings of the 2002 international conference on auditory display, 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
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
Remote homology detection based on oligomer distances
T Lingner, P Meinicke
Bioinformatics 22 (18), 2224-2231, 2006
Mixture models for analysis of the taxonomic composition of metagenomes
P Meinicke, KP Aßhauer, T Lingner
Bioinformatics 27 (12), 1618-1624, 2011
Treephyler: fast taxonomic profiling of metagenomes
F Schreiber, P Gumrich, R Daniel, P Meinicke
Bioinformatics 26 (7), 960-961, 2010
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
UProC: tools for ultra-fast protein domain classification
P Meinicke
Bioinformatics 31 (9), 1382-1388, 2015
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), 1-14, 2004
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