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PHINDaccess FUNOMICs
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4ff94013
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4ff94013
authored
2 years ago
by
Natalia PIETROSEMOLI
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Update Thursday/StringDB-HandsOn.md
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@@ -12,11 +12,11 @@ Here, we will explore the intractions of genes associzated to large deletiomns i
We will use The Human Protein Atlas to find the 41 genes associated to large deletions in cancer
https://www.proteinatlas.org/
1.
Choose : The tissue -> Go to the Human Subproteomes and choose The cancer proteome -> Select the large deletions genes
*
Choose : The tissue -> Go to the Human Subproteomes and choose The cancer proteome -> Select the large deletions genes
2.
Download the table as a .tsv file
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Download the table as a .tsv file
3.
Open in Excel and choose one column as gene identifier : copy it to clipboard
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Open in Excel and choose one column as gene identifier : copy it to clipboard
## Looking for the gene interactors
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@@ -25,36 +25,58 @@ We will find our interacting proteins in the String DB.
https://string-db.org/
1.
Search -> Multiple proteins and paste list
2.
Select organism and click the search button
3.
Check the mapping, are they your prots ? How many ?
4.
Click the continue button
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Search -> Multiple proteins and paste list
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Select organism and click the search button
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Check the mapping, are they your prots ? How many ?
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Click the continue button
## Exploring your network
### Check the legend tab to understand the network components
5.
What do nodes represent?
What do edges represent ?
What are the figures inside the nodes ?
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
6
.
What types of networks can you display ?
4
.
What types of networks can you display ?
What kind of interaction sources do you have in this netwrok ?
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 structures previews
Remove the protein structure preview
### Check the analysis tab to explore the network's main statistics
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 Fanconi anemia KEGG pathway ?
12.
How many proteins are described in Uniprot with the Hereditary nonpolyposis colorectal cancer keyword ?
13.
How many drug compounds can we find associated to the PTEN protein ?
14.
Save a figure of the network in file
15.
Save a table of the protein interactions in a table
### Check the analysis tab
7.
How many nodes does the network have ?
How many interactions does the network have ?
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