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PointCloudExplore 2: Visual Exploration of 3D Gene Expression.

DE2008928314

Publication Date	2008
Personal Author	Hagen, H.; Flowlkew, C. C.; Hamann, B.; Knowles, D. W.; Malik, J.
Page Count	14
Abstract	To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP) 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). In PCX we have linked physical and information visualization views via the concept of brushing (cell selection). For each view dedicated operations for performing selection of cells are available. In PCX, all cell selections are stored in a central management system. Cells selected in one view can in this way be highlighted in any view allowing further cell subset properties to be determined. Complex cell queries can be defined by combining different cell selections using logical operations such as AND, OR, and NOT. Here we are going to provide an overview of PointCloudXplore 2 (PCX2), the latest publicly available version of PCX. PCX2 has shown to be an effective tool for visual exploration of 3D gene expression data.
Keywords	Genes Visualization Three dimensional image Genome mutations Cells(Biology) Resolution Data analysis Gene expression Cell selection
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Berkeley National Lab., CA. Environmental Energy Technologies Div.; California Univ., Berkeley. Computer Science Div.; California Univ., Berkeley. Dept. of Molecular Biology.; Department of Energy, Washington, DC.
Supplemental Notes	Prepared in cooperation with California Univ., Berkeley. Computer Science Div., California Univ., Berkeley. Computer Science Div. and California Univ., Berkeley. Dept. of Molecular Biology. Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200824
Contract Number	DE-AC02-05CH11231

PointCloudExplore 2: Visual Exploration of 3D Gene Expression.

PointCloudExplore 2: Visual Exploration of 3D Gene Expression.
DE2008928314

Publication Date	2008
Personal Author	Hagen, H.; Flowlkew, C. C.; Hamann, B.; Knowles, D. W.; Malik, J.
Page Count	14
Abstract	To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP) 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). In PCX we have linked physical and information visualization views via the concept of brushing (cell selection). For each view dedicated operations for performing selection of cells are available. In PCX, all cell selections are stored in a central management system. Cells selected in one view can in this way be highlighted in any view allowing further cell subset properties to be determined. Complex cell queries can be defined by combining different cell selections using logical operations such as AND, OR, and NOT. Here we are going to provide an overview of PointCloudXplore 2 (PCX2), the latest publicly available version of PCX. PCX2 has shown to be an effective tool for visual exploration of 3D gene expression data.
Keywords	Genes Visualization Three dimensional image Genome mutations Cells(Biology) Resolution Data analysis Gene expression Cell selection
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Berkeley National Lab., CA. Environmental Energy Technologies Div.; California Univ., Berkeley. Computer Science Div.; California Univ., Berkeley. Dept. of Molecular Biology.; Department of Energy, Washington, DC.
Supplemental Notes	Prepared in cooperation with California Univ., Berkeley. Computer Science Div., California Univ., Berkeley. Computer Science Div. and California Univ., Berkeley. Dept. of Molecular Biology. Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200824
Contract Number	DE-AC02-05CH11231