Difference between revisions of "Sub Cellular Localization"

From Protein Prediction 2 Winter Semester 2014
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"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"
 
"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"
   
== 2. GUI mockups ==
+
= 2. GUI mockups =
   
 
[[File:Mock1.png|thumb|center|700px|720px|Figure 1 : Number of Proteins in cell compartment]]
 
[[File:Mock1.png|thumb|center|700px|720px|Figure 1 : Number of Proteins in cell compartment]]
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***Score of each protein (confidence)
 
***Score of each protein (confidence)
   
== 3. Application design ==
+
= 3. Application design =
 
*Expected technical difficulties
 
*Expected technical difficulties
 
**Wrong file input format
 
**Wrong file input format
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***https://live.zoomdata.com/zoomdata/visualization#51db7ad4e4b04caf9ab346db-51db7ad4e4b04caf9ab346d5
 
***https://live.zoomdata.com/zoomdata/visualization#51db7ad4e4b04caf9ab346db-51db7ad4e4b04caf9ab346d5
   
== 4. data ==
+
= 4. data =
   
 
*Remarks about input format
 
*Remarks about input format
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[[File:Format.png|thumb|center|700px|720px|Figure 3 : Text File format]]
 
[[File:Format.png|thumb|center|700px|720px|Figure 3 : Text File format]]
   
== 5. Roadmap ==
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= 5. Roadmap =
   
 
[[File:Roadmap.png|thumb|center|700px|720px|Figure 4 : Roadmap]]
 
[[File:Roadmap.png|thumb|center|700px|720px|Figure 4 : Roadmap]]

Revision as of 22:16, 19 November 2014

Sub Cellular Localization in Cell

1. 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"

2. 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)

3. Application design

4. data

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

5. Roadmap

Figure 4 : Roadmap