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dc.contributor.authorRübel, O.
dc.contributor.authorWeber, G. H.
dc.contributor.authorHuang, M. -Y.
dc.contributor.authorBethel, E. W.
dc.contributor.authorKeränen, S. V. E.
dc.contributor.authorFowlkes, C. C.
dc.contributor.authorLuengo Hendriks, C. L.
dc.contributor.authorDePace, A. H.
dc.contributor.authorSimirenko, L.
dc.contributor.authorEisen, M. B.
dc.contributor.authorBiggin, M. D.
dc.contributor.authorHagen, Hans
dc.contributor.authorMalik, J.
dc.contributor.authorKnowles, D. W.
dc.contributor.authorHamann, B.
dc.contributor.editorHagen, Hans
dc.contributor.editorHering-Bertram, Martin
dc.contributor.editorGarth, Christoph
dc.date.accessioned2017-09-23T07:01:43Z
dc.date.available2017-09-23T07:01:43Z
dc.date.issued2008
dc.identifier.isbn978-3-88579-441-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/4617
dc.description.abstractTo better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BD- NTP) has developed a suite of methods to describe 3D gene expression data, i.e., the output of the network at cellular resolution for multiple time points. To allow researchers to explore these novel data sets we have developed PointCloudXplore (PCX).en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofVisualization of large and unstructured data sets
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-7
dc.titlePointcloudxplore 2: visual exploration of 3D gene expressionen
dc.pubPlaceBonn
mci.reference.pages125-137
mci.conference.locationKaiserslautern
mci.conference.date9. - 11. September 2007


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