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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+ | ! Week number !! Completed tasks !! Status |
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+ | |Week 1 |
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+ | | <code><nowiki>* Researching Biology literature in order to identify proteins belonging to different cells (Archaea / Bacteria / Eukaryota) |
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+ | * Identify existing tools or libraries which can help us in visualizing input data. |
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+ | * Identification of importance of protein localization in cell's compartments. |
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+ | * Obtaining images of Archea, Bacteria and Eukaryota. |
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+ | * Creation of repository in github. |
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+ | * Definition of input file format. |
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+ | </nowiki></code> |
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+ | | {{Check mark}} |
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+ | |} |
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Revision as of 22:00, 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
- 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 :
Application design
- Expected technical difficulties
- Wrong file input format
- Correct identification of localization
- Libraries
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
Roadmap
Week number | Completed tasks | Status |
---|---|---|
Week 1 | * Researching Biology literature in order to identify proteins belonging to different cells (Archaea / Bacteria / Eukaryota)
* Identify existing tools or libraries which can help us in visualizing input data.
* Identification of importance of protein localization in cell's compartments.
* Obtaining images of Archea, Bacteria and Eukaryota.
* Creation of repository in github.
* Definition of input file format.
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