Difference between revisions of "Sub Cellular Localization"

From Protein Prediction 2 Winter Semester 2014
(Data)
Line 34: Line 34:
   
 
*Remarks about input format
 
*Remarks about input format
**Text file must contain proteins of only one type of cell
+
**Each text file must contain proteins of only one type of cell
**Text file format :
+
**Text file format:
***Protein name
+
***Protein id
 
***Score (certainty of existence of particular protein within a cell compartment)
 
***Score (certainty of existence of particular protein within a cell compartment)
 
***Localization (component)
 
***Localization (component)
  +
***Cell type
***Gene Ontology Terms
 
   
 
[[File:Format.png|thumb|center|700px|720px|Figure 3 : Text File format]]
 
[[File:Format.png|thumb|center|700px|720px|Figure 3 : Text File format]]

Revision as of 20:27, 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