VANTED: a system for advanced data analysis and visualization in the context of biological networks BH Junker, C Klukas, F Schreiber BMC bioinformatics 7 (1), 1-13, 2006 | 501 | 2006 |
Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis D Chen, K Neumann, S Friedel, B Kilian, M Chen, T Altmann, C Klukas The plant cell 26 (12), 4636-4655, 2014 | 233 | 2014 |
Integrated analysis platform: an open-source information system for high-throughput plant phenotyping C Klukas, D Chen, JM Pape Plant physiology 165 (2), 506-518, 2014 | 173 | 2014 |
Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine vision and applications 27 (4), 585-606, 2016 | 168 | 2016 |
Advanced phenotyping and phenotype data analysis for the study of plant growth and development M Rahaman, D Chen, Z Gillani, C Klukas, M Chen Frontiers in plant science 6, 619, 2015 | 165 | 2015 |
VANTED v2: a framework for systems biology applications H Rohn, A Junker, A Hartmann, E Grafahrend-Belau, H Treutler, ... BMC systems biology 6 (1), 1-13, 2012 | 156 | 2012 |
Apomictic and sexual ovules of Boechera display heterochronic global gene expression patterns TF Sharbel, ML Voigt, JM Corral, G Galla, J Kumlehn, C Klukas, ... The Plant Cell 22 (3), 655-671, 2010 | 151 | 2010 |
Optimizing experimental procedures for quantitative evaluation of crop plant performance in high throughput phenotyping systems A Junker, MM Muraya, K Weigelt-Fischer, F Arana-Ceballos, C Klukas, ... Frontiers in plant science 5, 770, 2015 | 112 | 2015 |
Dynamic exploration and editing of KEGG pathway diagrams C Klukas, F Schreiber Bioinformatics 23 (3), 344-350, 2007 | 108 | 2007 |
Towards recommendations for metadata and data handling in plant phenotyping P Krajewski, D Chen, H Ćwiek, ADJ van Dijk, F Fiorani, P Kersey, ... Journal of Experimental Botany 66 (18), 5417-5427, 2015 | 94 | 2015 |
Phenotypic and metabolic responses to drought and salinity of four contrasting lentil accessions A Muscolo, A Junker, C Klukas, K Weigelt-Fischer, D Riewe, T Altmann Journal of Experimental Botany 66 (18), 5467-5480, 2015 | 93 | 2015 |
Editing, validating and translating of SBGN maps T Czauderna, C Klukas, F Schreiber Bioinformatics 26 (18), 2340-2341, 2010 | 92 | 2010 |
Measures for interoperability of phenotypic data: minimum information requirements and formatting H Ćwiek-Kupczyńska, T Altmann, D Arend, E Arnaud, D Chen, G Cornut, ... Plant Methods 12 (1), 1-18, 2016 | 82 | 2016 |
Evidence of a key role for photosynthetic oxygen release in oil storage in developing soybean seeds H Rolletschek, R Radchuk, C Klukas, F Schreiber, U Wobus, L Borisjuk New Phytologist 167 (3), 777-786, 2005 | 79 | 2005 |
The differential transcription network between embryo and endosperm in the early developing maize seed X Lu, D Chen, D Shu, Z Zhang, W Wang, C Klukas, L Chen, Y Fan, ... Plant physiology 162 (1), 440-455, 2013 | 78 | 2013 |
3-D histogram-based segmentation and leaf detection for rosette plants JM Pape, C Klukas European Conference on Computer Vision, 61-74, 2014 | 64 | 2014 |
Integration of-omics data and networks for biomedical research with VANTED C Klukas, F Schreiber J Integr Bioinform 7 (2), 112, 2010 | 61 | 2010 |
AtRD22 and AtUSPL1, members of the plant-specific BURP domain family involved in Arabidopsis thaliana drought tolerance VT Harshavardhan, C Seiler, A Junker, K Weigelt-Fischer, C Klukas, ... PloS one 9 (10), e110065, 2014 | 60 | 2014 |
FBA-SimVis: interactive visualization of constraint-based metabolic models E Grafahrend-Belau, C Klukas, BH Junker, F Schreiber Bioinformatics 25 (20), 2755-2757, 2009 | 59 | 2009 |
Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non‐invasive phenotyping MM Muraya, J Chu, Y Zhao, A Junker, C Klukas, JC Reif, T Altmann The Plant Journal 89 (2), 366-380, 2017 | 51 | 2017 |