Difference between revisions of "Sub Cellular Localization"
From Protein Prediction 2 Winter Semester 2014
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***https://live.zoomdata.com/zoomdata/visualization#51db7ad4e4b04caf9ab346db-51db7ad4e4b04caf9ab346d5 |
***https://live.zoomdata.com/zoomdata/visualization#51db7ad4e4b04caf9ab346db-51db7ad4e4b04caf9ab346d5 |
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| − | === |
+ | === 4. data === |
| − | * |
+ | *Remarks about input format |
| + | **Text file must contain proteins of only one type of cell |
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| + | **Text file format : |
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| + | ***Protein name |
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| + | ***Score (certainty of existence of particular protein within a cell compartment) |
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| + | ***Localization (component) |
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| + | ***Gene Ontology Terms |
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=== 4. Roadmap === |
=== 4. Roadmap === |
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Revision as of 22:07, 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
- 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)
- Good color scheme to highlight :
3. Application design
- Expected technical difficulties
- Wrong file input format
- Correct identification of localization
- Libraries
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
