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Commit d40203bd authored by Natalia  PIETROSEMOLI's avatar Natalia PIETROSEMOLI
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Update Thursday/String_DB_HandsOn_Diabetes.md

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# Hands-On: STRING DB - Diabetes
Here, we will explore the intractions of genes associzated to diabetes.
# Input:
<!-- <img src="images/ATAC-seq_PE.png" width="700" align="center" > -->
We will use The Human Protein Atlas to find the 126 genes associated to diabetes.
https://www.proteinatlas.org/
* In the search bar, type diabetes
* Download the table as a .tsv file
* Open in Excel and choose one column as gene identifier : copy it to clipboard
## Looking for the gene interactors
We will find our interacting proteins in the String DB.
https://string-db.org/
* Search -> Multiple proteins and paste list
* Select organism and click the search button
* Check the mapping, are they your prots ? How many ?
* Click the continue button
## Exploring your network
### Check the legend tab to understand the network components
1. What do nodes represent?
2. What do edges represent ?
3. What are the figures inside the nodes ?
### Check the settings tab to change the network options
4. What types of networks can you display ?
5. What kind of interaction sources do you have in this netwrok ?
Choose to see both functional and physical associations and that the edges represent the confidence of the data
Remove the protein structure preview
### Check the analysis tab to explore the network's main statistics
What kind of infomration can you give about this network ?
7. How many proteins does the network have ?
8. How many interactions does the network have ?
9. How many interactions is this network expected to have if it were a random list of proteins ?
10. How many interactions does each protein have on average ?
### Check the analysis tab to explore the functional enrichment of the network
11. Which proteins belong to the Insulin metabolic process GO term ?
How many genes are there annotated with this term for Human?
12. Examine the Reactome pathways and choose to visualize the proteins in the two pathways related to GABA synthesis.
<details>
<summary markdown="span">13. Save a figure of the network in file</summary>
Exports -> svg
</details>
<details>
<summary markdown="span">14. Save a table of the protein interactions </summary>
Exports -> tsv
15. What protein is the biggest hub in the network ?
</details>
<details>
<summary markdown="span">16. Save a table of the number of interactors per protein i</summary>
Exports -> tsv
</details>
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