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231225s2017 xx |||||o 00| ||eng c |
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|a 10.1107/S1600576717015229
|2 doi
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|a eng
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| 100 |
1 |
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|a Santoni, Gianluca
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Hierarchical clustering for multiple-crystal macromolecular crystallography experiments
|b the ccCluster program
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| 264 |
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|c 2017
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| 336 |
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 05.06.2024
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a This article describes ccCluster, a software providing an intuitive graphical user interface (GUI) and multiple functions to perform hierarchical cluster analysis on multiple crystallographic datasets. The program makes it easier for users to choose, in the case of multi-crystal data collection, those datasets that will be merged together to give good final statistics. It provides a simple GUI to analyse the dendrogram and various options for automated clustering and data merging
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|a Journal Article
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| 650 |
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|a cluster analysis
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|a multicrystal data collection
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| 650 |
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|a phasing
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| 650 |
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4 |
|a serial crystallography
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| 700 |
1 |
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|a Zander, Ulrich
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mueller-Dieckmann, Christoph
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Leonard, Gordon
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Popov, Alexander
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of applied crystallography
|d 1998
|g 50(2017), Pt 6 vom: 01. Dez., Seite 1844-1851
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|d 50
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