Update README.md

Author: yanghongchhy

README.md

@@ -72,8 +72,8 @@ print(df)
 ```
 docker run --rm --gpus all ghcr.io/tingtingligroup/phasemotif:latest - <<'PY'
 import PhaseMotif as pm
-idr_list = ["MSVAKTPKTAENAEGGGGGGGGPPPPPPPKPHVNVGTIGPHEDTYYSEF", "GPTLSEDNLSYYKSQPGFQKMSADK"]
-idr_name = ["IDR1", "IDR2"]
+idr_list = ["HNSNRQLERSGRFGGNPGGFGNQGGFGNSRGGGAGLGNNQGSNMGGGMNFGAFSINPAMMAAAQAALQSSWGMMGMLASQQNQSGPSGNNQNQGNMQREPNQAFGSGNNSYSGSNSGAAIGWGSASNAGSGSGFNGGFGSSMDSKSSGWGM", "GPTLSEDNLSYYKSQPGFQKMSADKMPPPSPDSENGFYPGLPSSMNPAFFPSFSPVSPHGCTGLSVPTSGGGGGGFGGPFSATAVPPPPPPAMNIPQQQPPPPAAPQQPQSRRSPVSPQLQQQHQAAAAAFLQQRNSYNHHQPLLKQSPWSNHQSSGWGTGSMSWGAMHGRDHRRTGNMGIPGTMNQISPLKKPFSGNVIAPPKFTRSTPSLTPKSWIEDNVFRTDNNSNTLLPLQVRSSLQLPAWGSDSLQDSWCTAAGTSRIDQDRSRMYDSLNMHSLENSLIDIMRAEHDPLKGRLSYPHPGTDNLLMLNGRSSLFPIDDGLLDDGHSDQVGVLNSPTCYSAHQNGE"]
+idr_name = ["TDP43", "CPEB2"]
 print(pm.predict_main(idr_list, idr_name))
 PY
 ```
@@ -83,8 +83,8 @@ PY
 ```
 docker run --rm --gpus all ghcr.io/tingtingligroup/phasemotif:latest -c `
 "import PhaseMotif as pm; `
- idr_list=['MSVAKTPKTAENAEGGGGGGGGPPPPPPPKPHVNVGTIGPHEDTYYSEF','GPTLSEDNLSYYKSQPGFQKMSADK']; `
- idr_name=['IDR1','IDR2']; `
+ idr_list = ["HNSNRQLERSGRFGGNPGGFGNQGGFGNSRGGGAGLGNNQGSNMGGGMNFGAFSINPAMMAAAQAALQSSWGMMGMLASQQNQSGPSGNNQNQGNMQREPNQAFGSGNNSYSGSNSGAAIGWGSASNAGSGSGFNGGFGSSMDSKSSGWGM", "GPTLSEDNLSYYKSQPGFQKMSADKMPPPSPDSENGFYPGLPSSMNPAFFPSFSPVSPHGCTGLSVPTSGGGGGGFGGPFSATAVPPPPPPAMNIPQQQPPPPAAPQQPQSRRSPVSPQLQQQHQAAAAAFLQQRNSYNHHQPLLKQSPWSNHQSSGWGTGSMSWGAMHGRDHRRTGNMGIPGTMNQISPLKKPFSGNVIAPPKFTRSTPSLTPKSWIEDNVFRTDNNSNTLLPLQVRSSLQLPAWGSDSLQDSWCTAAGTSRIDQDRSRMYDSLNMHSLENSLIDIMRAEHDPLKGRLSYPHPGTDNLLMLNGRSSLFPIDDGLLDDGHSDQVGVLNSPTCYSAHQNGE"]
+idr_name = ["TDP43", "CPEB2"]
  print(pm.predict_main(idr_list,idr_name))"
 ```
 
@@ -138,11 +138,8 @@ The `analyse_main` function performs analysis on Intrinsically Disordered Region
 import PhaseMotif as pm
 
 # Sample IDR sequences
-idr_list = [
-    "MSVAKTPKTAENAEGGGGGGGGPPPPPPPKPHVNVGTIGPHEDTYYSEF",
-    "GPTLSEDNLSYYKSQPGFQKMSADK"
-]
-idr_name = ["IDR1", "IDR2", ...]
+idr_list = ["HNSNRQLERSGRFGGNPGGFGNQGGFGNSRGGGAGLGNNQGSNMGGGMNFGAFSINPAMMAAAQAALQSSWGMMGMLASQQNQSGPSGNNQNQGNMQREPNQAFGSGNNSYSGSNSGAAIGWGSASNAGSGSGFNGGFGSSMDSKSSGWGM", "GPTLSEDNLSYYKSQPGFQKMSADKMPPPSPDSENGFYPGLPSSMNPAFFPSFSPVSPHGCTGLSVPTSGGGGGGFGGPFSATAVPPPPPPAMNIPQQQPPPPAAPQQPQSRRSPVSPQLQQQHQAAAAAFLQQRNSYNHHQPLLKQSPWSNHQSSGWGTGSMSWGAMHGRDHRRTGNMGIPGTMNQISPLKKPFSGNVIAPPKFTRSTPSLTPKSWIEDNVFRTDNNSNTLLPLQVRSSLQLPAWGSDSLQDSWCTAAGTSRIDQDRSRMYDSLNMHSLENSLIDIMRAEHDPLKGRLSYPHPGTDNLLMLNGRSSLFPIDDGLLDDGHSDQVGVLNSPTCYSAHQNGE"]
+idr_name = ["TDP43", "CPEB2"]
 
 # Analyze the IDR sequences without naming or painting
 pm.analyse_main(idr_list)
@@ -185,8 +182,8 @@ The `predict_main` function predicts the results for a list of Intrinsically Dis
 ```python
 import PhaseMotif as pm
 
-idr_list = ["MSVAKTPKTAENAEGGGGGGGGPPPPPPPKPHVNVGTIGPHEDTYYSEF", "GPTLSEDNLSYYKSQPGFQKMSADK"]
-idr_name = ["IDR1", "IDR2"]
+idr_list = ["HNSNRQLERSGRFGGNPGGFGNQGGFGNSRGGGAGLGNNQGSNMGGGMNFGAFSINPAMMAAAQAALQSSWGMMGMLASQQNQSGPSGNNQNQGNMQREPNQAFGSGNNSYSGSNSGAAIGWGSASNAGSGSGFNGGFGSSMDSKSSGWGM", "GPTLSEDNLSYYKSQPGFQKMSADKMPPPSPDSENGFYPGLPSSMNPAFFPSFSPVSPHGCTGLSVPTSGGGGGGFGGPFSATAVPPPPPPAMNIPQQQPPPPAAPQQPQSRRSPVSPQLQQQHQAAAAAFLQQRNSYNHHQPLLKQSPWSNHQSSGWGTGSMSWGAMHGRDHRRTGNMGIPGTMNQISPLKKPFSGNVIAPPKFTRSTPSLTPKSWIEDNVFRTDNNSNTLLPLQVRSSLQLPAWGSDSLQDSWCTAAGTSRIDQDRSRMYDSLNMHSLENSLIDIMRAEHDPLKGRLSYPHPGTDNLLMLNGRSSLFPIDDGLLDDGHSDQVGVLNSPTCYSAHQNGE"]
+idr_name = ["TDP43", "CPEB2"]
 
 # Predict without naming the sequences
 pm.predict_main(idr_list)