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Christian Panse

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2020 – today

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2022
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Christian Panse, Christian Trachsel, Can Türker:
Bridging data management platforms and visualization tools to enable ad-hoc and smart analytics in life sciences. J. Integr. Bioinform. 19(4) (2022)

2010 – 2019

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2015
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Christian Panse, Christian Trachsel, Jonas Grossmann, Ralph Schlapbach:
specL - an R/Bioconductor package to prepare peptide spectrum matches for use in targeted proteomics. Bioinform. 31(13): 2228-2231 (2015)
2013
[j8]
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Simon Barkow-Oesterreicher, Can Türker, Christian Panse:
FCC-An automated rule-based processing tool for life science data. Source Code Biol. Medicine 8: 3 (2013)
[c18]
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Tyanko Aleksiev, Simon Barkow-Oesterreicher, Peter Z. Kunszt, Sergio Maffioletti, Riccardo Murri, Christian Panse:
VM-MAD: A Cloud/Cluster Software for Service-Oriented Academic Environments. ISC 2013: 447-461
[i1]
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Tyanko Aleksiev, Simon Barkow-Oesterreicher, Peter Z. Kunszt, Sergio Maffioletti, Riccardo Murri, Christian Panse:
VM-MAD: a cloud/cluster software for service-oriented academic environments. CoRR abs/1302.2529 (2013)
2012
[j7]
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Chris Bauer, Frank Kleinjung, Dorothea Rutishauser, Christian Panse, Alexandra Chadt, Tanja Dreja, Hadi Al-Hasani, Knut Reinert, Ralph Schlapbach, Johannes Schuchhardt:
PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratios. BMC Bioinform. 13: 34 (2012)
2010
[c17]
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Can Türker, Fuat Akal, Dieter Joho, Christian Panse, Simon Barkow-Oesterreicher, Hubert Rehrauer, Ralph Schlapbach:
B-Fabric: the Swiss Army Knife for life sciences. EDBT 2010: 717-720

2000 – 2009

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2009
[c16]
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Can Türker, Dieter Joho, Fuat Akal, Christian Panse, Simon Barkow-Oesterreicher, Hubert Rehrauer, Ralph Schlapbach:
The B-Fabric Life Sciences Data Management System. GI Jahrestagung 2009: 716-720
2007
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Tobias Schreck, Christian Panse:
A new metaphor for projection-based visual analysis and data exploration. Visualization and Data Analysis 2007: 64950L
2006
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Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North:
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. IEEE Trans. Vis. Comput. Graph. 12(5): 749-756 (2006)
[c14]
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Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence:
Task-at-hand interface for change detection in stock market data. AVI 2006: 420-427
[c13]
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Tobias Schreck, Daniel A. Keim, Christian Panse:
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering. ICME 2006: 925-928
2005
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Christian Panse:
Visualizing geo-related data using cartograms. University of Konstanz, Germany, 2005, pp. I-XX, 1-147
[j5]
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Daniel A. Keim, Christian Panse, Stephen C. North:
Medial-Axis-Based Cartograms. IEEE Computer Graphics and Applications 25(3): 60-68 (2005)
[c12]
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Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips:
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis 2005: 247-254
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Christian Panse:
Kartogramme zur Visualisierung Geographie-Bezogener Daten. Ausgezeichnete Informatikdissertationen 2005: 105-114
2004
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Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
Pixel based visual data mining of geo-spatial data. Comput. Graph. 28(3): 327-344 (2004)
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Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
Visual Data Mining in Large Geospatial Point Sets. IEEE Computer Graphics and Applications 24(5): 36-44 (2004)
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Daniel A. Keim, Stephen C. North, Christian Panse:
CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. IEEE Trans. Vis. Comput. Graph. 10(1): 95-110 (2004)
[c11]
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Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Analyzing Large Collections of Email. IKE 2004: 275-281
[c10]
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Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips:
RecMap: Rectangular Map Approximations. INFOVIS 2004: 33-40
[c9]
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Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips:
Exploring and Visualizing the History of InfoVis. INFOVIS 2004
[c8]
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Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Finding Spatial Patterns in Network Data. PaRMa 2004
[c7]
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Benjamin Bustos, Daniel A. Keim, Christian Panse, Tobias Schreck:
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. IEEE Visualization 2004: 2
[c6]
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Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004: 213-220
2003
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Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind:
Visualizing geographic information: VisualPoints vs. CartoDraw. Inf. Vis. 2(1): 58-67 (2003)
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Daniel A. Keim, Christian Panse, Mike Sips:
Visual Data Mining of Large Spatial Data Sets. DNIS 2003: 201-215
[c4]
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Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. ICDM 2003: 565-568
[c3]
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Claus Aumund-Kopp, Frank Ellebrecht, Holger Fricke, Holm Gottschalch, Christian Panse:
A Platform for Technical Consultation of Service Providers in Rapid Prototyping. APMS 2003: 331-342
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Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal:
Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI 2003: 37-51
2002
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Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind:
Efficient Cartogram Generation: A Comparison. INFOVIS 2002: 33-36

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