MICA: multiple interval-based curve alignment
Abstract: MICA enables the automatic synchronization of discrete data curves. To this end, characteristic points of the curves’ shapes are identified. These landmarks are used within a heuristic curve registration approach to align profile pairs by mapping similar characteristics onto each other. In combination with a progressive alignment scheme, this enables the computation of multiple curve alignments.
Multiple curve alignments are needed to derive meaningful representative consensus data of measured time or data series. MICA was already successfully applied to generate representative profiles of tree growth data based on intra-annual wood density profiles or cell formation data.
The MICA package provides a command-line and graphical user interface. The R interface enables the direct embedding of multiple curve alignment computation into larger analyses pipelines. Source code, binaries and documentation are freely available at https://github.com/BackofenLab/MICA
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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SoftwareX. 7 (2018), 53-58, DOI 10.1016/j.softx.2018.02.003, issn: 2352-7110
- Classification
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Biowissenschaften, Biologie
- Keyword
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Kurvenanpassung
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2018
- Creator
- Contributor
- DOI
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10.1016/j.softx.2018.02.003
- URN
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urn:nbn:de:bsz:25-freidok-151046
- Rights
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Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:49 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Raden, Martin
- Kahle, Hans-Peter
- Beck, Matthias
- Bender, Bela
- Spiecker, Heinrich
- Backofen, Rolf
- Albert-Ludwigs-Universität Freiburg. Professur für Waldwachstum und Dendroökologie
- Albert-Ludwigs-Universität Freiburg. Professur für Bioinformatik
- Albert-Ludwigs-Universität Freiburg. Centre for Biological Signalling Studies
- Zentrum für Biosystemanalyse
- Albert-Ludwigs-Universität Freiburg
- Universität
Time of origin
- 2018
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