Difference between revisions of "Sub Cellular Localization"

From Protein Prediction 2 Winter Semester 2014
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[[File:Roadmap.png|thumb|center|700px|720px|Figure 4 : Roadmap]]
 
[[File:Roadmap.png|thumb|center|700px|720px|Figure 4 : Roadmap]]
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{| class="wikitable"
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! HeaderR0C1 !! HeaderR0C2 !! HeaderR0C3
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| ExampleR1C1 || ExampleR1C2 || ExampleR1C3
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| ExampleR2C1 || ExampleR2C2 || ExampleR2C3
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| ExampleR3C1 || ExampleR3C2 || ExampleR3C3
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Revision as of 20:29, 26 November 2014

Sub Cellular Localization in Cell

Objective

"To visualize biological cells and highlight by a user selected sub-cellular compartments in a way that they stand out from the un-selected ones"

GUI mockups

Figure 1 : Number of Proteins in cell compartment
Figure 2 : Protein's score in cell compartment
  • User experience
    • Interactivity
    • Easy identification of the number of proteins in cell compartment
    • Good visualization of data
  • Functionality
    • Parsing the user input “txt” file
    • Mapping the file content into visualization
  • Features
    • Good color scheme to highlight :
      • Number of proteins in a compartment
      • Score of each protein (confidence)

Application design

Data

  • Remarks about input format
    • Each text file must contain proteins of only one type of cell
    • Text file format:
      • Protein id
      • Score (certainty of existence of particular protein within a cell compartment)
      • Localization (component)
      • Cell type
Figure 3 : Text File format

Roadmap

Figure 4 : Roadmap


HeaderR0C1 HeaderR0C2 HeaderR0C3
ExampleR1C1 ExampleR1C2 ExampleR1C3
ExampleR2C1 ExampleR2C2 ExampleR2C3
ExampleR3C1 ExampleR3C2 ExampleR3C3