Publikationen von D. Walther
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Zeitschriftenartikel (94)
Zeitschriftenartikel
Billiau, K., Sprenger, H., Schudoma, C., Walther, D. & Koehl, K. I. Data management pipeline for plant phenotyping in a multisite project. Functional Plant Biology 39, 948–957 (2012).
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Lisec, J. & Walther, D. Matapax: An Online High-Throughput Genome-Wide Association Study Pipeline. Plant Physiology 158, 1534–1541 (2012).
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Christian, J. O., Braginets, R., Schulze, W. X. & Walther, D. Characterization and Prediction of Protein Phosphorylation Hotspots in Arabidopsis thaliana. Frontiers in Plant Science 3, 207 (2012).
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Schudoma, C., May, P. & Walther, D. Give It AGO: The Search for miRNA-Argonaute Sorting Signals in Arabidopsis thaliana Indicates a Relevance of Sequence Positions Other than the 5'-Position Alone. Frontiers in plant science 3, 272 (2012).
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Lenz, D., May, P. & Walther, D. Comparative analysis of miRNAs and their targets across four plant species. BMC Research Notes 4, 483 (2011).
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Scharff, L. B., Childs, L., Walther, D. & Bock, R. Local Absence of Secondary Structure Permits Translation of mRNAs that Lack Ribosome-Binding Sites. PLoS Genetics 7, e1002155 (2011).
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Schudoma, C., Larhlimi, A. & Walther, D. The influence of the local sequence environment on RNA loop structures. Rna-a Publication of the Rna Society 17, 1247–1257 (2011).
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Sulpice, R., , Stitt, M., Walther, D., & Altmann, T. Single feature polymorphism (SFP)-based selective sweep identification and association mapping of growth-related metabolic traits in Arabidopsis thaliana. BMC Genomics 11, 188 (2010).
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Hummel, J., Strehmel, N., Selbig, J., Walther, D. & Kopka, J. Decision tree supported substructure prediction of metabolites from GC-MS profiles. Metabolomics 6, 322–333 (2010).
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Lohse, M., Nunes-Nesi, A., Krueger, P., Nagel, A., Hannemann, J., Giorgi, F. M., Childs, L., Osorio, S., Walther, D., Selbig, J., , Stitt, M., Fernie, A. R. & Usadel, B. Robin: An Intuitive Wizard Application for R-Based Expression Microarray Quality Assessment and Analysis. Plant Physiology 153, 642–651 (2010).
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Riano-Pachon, D. M., Kleessen, S., , Durek, P., , Engelsberger, W. R., Walther, D., Selbig, J., Schulze, W. X. & Kersten, B. Proteome-wide survey of phosphorylation patterns affected by nuclear DNA polymorphisms in Arabidopsis thaliana. BMC Genomics 11, 411 (2010).
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Schudoma, C., May, P., Nikiforova, V. & Walther, D. Sequence-structure relationships in RNA loops: establishing the basis for loop homology modeling. Nucleic Acids Research 38, 970–980 (2010).
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Schudoma, C., May, P. & Walther, D. Modeling RNA loops using sequence homology and geometric constraints. Bioinformatics 26, 1671–1672 (2010).
Zeitschriftenartikel
Strassburg, K., Walther, D., , & Kopka, J. Dynamic Transcriptional and Metabolic Responses in Yeast Adapting to Temperature Stress. Omics-a Journal of Integrative Biology 14, 249–259 (2010).
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Nikiforova, V., & Walther, D. The complexity of gene expression dynamics revealed by permutation entropy. BMC Bioinformatics 11, 607 (2010).
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Walther, D., Strassburg, K., Durek, P. & Kopka, J. Metabolic Pathway Relationships Revealed by an Integrative Analysis of the Transcriptional and Metabolic Temperature Stress-Response Dynamics in Yeast. OMICS: A Journal of Integrative Biology 14, 261–274 (2010).
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Childs, L., Nikoloski, Z., May, P. & Walther, D. Identification and classification of ncRNA molecules using graph properties. Nucleic Acids Research 37, e66 (2009).
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Degenkolbe, T., Do, P. T., Zuther, E., Repsilber, D., Walther, D., Hincha, D. K. & Koehl, K. I. Expression profiling of rice cultivars differing in their tolerance to long-term drought stress. Plant Molecular Biology 69, 133–153 (2009).
Zeitschriftenartikel
Durek, P., Schudoma, C., Weckwerth, W., Selbig, J. & Walther, D. Detection and characterization of 3D-signature phosphorylation site motifs and their contribution towards improved phosphorylation site prediction in proteins. BMC Bioinformatics 10, 117 (2009).
Zeitschriftenartikel
Kierszniowska, S., Walther, D. & Schulze, W. X. Ratio-dependent significance thresholds in reciprocal N-15-labeling experiments as a robust tool in detection of candidate proteins responding to biological treatment. Proteomics 9, 1916–1924 (2009).