Dr. Christian Klukas
Dr. Christian Klukas
Principal Scientist at BASF SE
Verified email at - Homepage
Cited by
Cited by
VANTED: a system for advanced data analysis and visualization in the context of biological networks
BH Junker, C Klukas, F Schreiber
BMC bioinformatics 7, 1-13, 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
Advanced phenotyping and phenotype data analysis for the study of plant growth and development
MM Rahaman, D Chen, Z Gillani, C Klukas, M Chen
Frontiers in plant science 6, 619, 2015
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, 585-606, 2016
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
VANTED v2: a framework for systems biology applications
H Rohn, A Junker, A Hartmann, E Grafahrend-Belau, H Treutler, ...
BMC systems biology 6, 1-13, 2012
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
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
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
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
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, 1-18, 2016
Dynamic exploration and editing of KEGG pathway diagrams
C Klukas, F Schreiber
Bioinformatics 23 (3), 344-350, 2007
Editing, validating and translating of SBGN maps
T Czauderna, C Klukas, F Schreiber
Bioinformatics 26 (18), 2340-2341, 2010
3-D histogram-based segmentation and leaf detection for rosette plants
JM Pape, C Klukas
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
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
AtRD22 and AtUSPL1, Members of the Plant-Specific BURP Domain Family Involved in Arabidopsis thaliana Drought Tolerance
VT Harshavardhan, LE Van Son, C Seiler, A Junker, K Weigelt-Fischer, ...
PloS one 9 (10), e110065, 2014
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
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
Dissecting spatiotemporal biomass accumulation in barley under different water regimes using high‐throughput image analysis
K Neumann, C Klukas, S Friedel, P Rischbeck, D Chen, A Entzian, ...
Plant, cell & environment 38 (10), 1980-1996, 2015
Predicting plant biomass accumulation from image-derived parameters
D Chen, R Shi, JM Pape, K Neumann, D Arend, A Graner, M Chen, ...
GigaScience 7 (2), giy001, 2018
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