Category:Events: Difference between revisions

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*'''Location:''' [[wikipedia:Zurich, Switzerland]], [[wikipedia:Switzerland|Switzerland]]
*'''Location:''' [[wikipedia:Zurich, Switzerland]], [[wikipedia:Switzerland|Switzerland]]
*'''Proceedings Publisher:'''  [http://www.computer.org/ IEEE Computer Society]
*'''Proceedings Publisher:'''  [http://www.computer.org/ IEEE Computer Society]
*'''Homepage:''' www.graphicslink.co.uk/IV07/IVbm.htm
*'''Homepage:''' http://www.graphicslink.co.uk/IV07/IVbm.htm


*'''Paper Submission Deadline:''' February 15, 2007


*'''Paper Submission Deadline:''' February 15, 2007
*'''Main topic areas:'''  
*Examples of application topics include, but are not limited to
**Microarray data, design and analysis
**Nucleotide and protein sequence alignment
**Sequence analysis, comparison and alignment networks
**Evolutionary phylogenetic trees
**Gene expression and gene discovery
**Signaling pathways, biochemical networks
**Biochemical and cellular simulations and models
**Mass spectrometry data analysis
 
*Examples of visualization topics include
**Interactions with large data sets
**Handling labels in high-dimensional visualizations
**Linking literature and semantics in pathway visualizations
**Systems-level analysis of experimental data
**Overview and detail presentation of predictive or uncertain data
**Identification of correlated and anomalous relationships in disparate data sets


[[Category:Conferences]]
[[Category:Conferences]]

Revision as of 10:31, 30 December 2006

  • Paper Submission Deadline: February 15, 2007
  • Main topic areas:
  • Examples of application topics include, but are not limited to
    • Microarray data, design and analysis
    • Nucleotide and protein sequence alignment
    • Sequence analysis, comparison and alignment networks
    • Evolutionary phylogenetic trees
    • Gene expression and gene discovery
    • Signaling pathways, biochemical networks
    • Biochemical and cellular simulations and models
    • Mass spectrometry data analysis
  • Examples of visualization topics include
    • Interactions with large data sets
    • Handling labels in high-dimensional visualizations
    • Linking literature and semantics in pathway visualizations
    • Systems-level analysis of experimental data
    • Overview and detail presentation of predictive or uncertain data
    • Identification of correlated and anomalous relationships in disparate data sets