Mercurial > repos > jay > pdaug_aa_property_based_peptide_descriptor

changeset 5:0c5867456e28 draft

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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit ac4353ca5c0ac9ce60df9f4bf160ed08b99fbee3"
author jay
date Thu, 28 Jan 2021 04:10:34 +0000
parents ee0f96a30d36
children 8158a2f59371
files PDAUG_Basic_Plots/PDAUG_Basic_Plots.py PDAUG_Basic_Plots/test-data/test5/report_dir/Out.png PDAUG_Basic_Plots/test-data/test5/report_dir/report.html PDAUG_Peptide_CD_Spectral_Analysis/PDAUG_Peptide_CD_Spectral_Analysis.py PDAUG_Sequence_Based_Peptide_Generation/PDAUG_Sequence_Based_Peptide_Generation.py PDAUG_Sequence_Property_Based_Descriptors/PDAUG_Sequence_Property_Based_Descriptors.py PDAUG_Sequence_Property_Based_Descriptors/test-data/Out.tsv PDAUG_TSVtoFASTA/test-data/1.fasta PDAUG_TSVtoFASTA/test-data/2.fasta PDAUG_TSVtoFASTA/test-data/out.fasta PDAUG_Word_Vector_Model/PDAUG_Word_Vector_Model.py
diffstat 11 files changed, 76 insertions(+), 101 deletions(-) [+]
line wrap: on
line diff
--- a/PDAUG_Basic_Plots/PDAUG_Basic_Plots.py	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_Basic_Plots/PDAUG_Basic_Plots.py	Thu Jan 28 04:10:34 2021 +0000
@@ -182,4 +182,4 @@
         WordCloudPlot(args.InFile, args.FragSize, args.Workdirpath,  args.htmlOutDir, args.htmlFname)   
 
     else:
-        print("In Correct Option:")
+        print("Incorrect option provided: %s" % (sys.argv[1]))
Binary file PDAUG_Basic_Plots/test-data/test5/report_dir/Out.png has changed
--- a/PDAUG_Basic_Plots/test-data/test5/report_dir/report.html	Tue Jan 12 19:25:08 2021 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,39 +0,0 @@
-
-
-    <!DOCTYPE html>
-    <html lang="en">
-    <head>
-      <title>Bootstrap Example</title>
-      <meta charset="utf-8">
-      <meta name="viewport" content="width=device-width, initial-scale=1">
-      <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.0/css/bootstrap.min.css">
-      <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.0/jquery.min.js"></script>
-      <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.0/js/bootstrap.min.js"></script>
-    <body>
-    <style>
-    div.container_1 {
-      width:600px;
-      margin: auto;
-     padding-right: 10; 
-    }
-    div.table {
-      width:600px;
-      margin: auto;
-     padding-right: 10; 
-    }
-    </style>
-    </head>
-    <div class="jumbotron text-center">
-      <h1> Word Cloud </h1>
-    </div>
-    <div class="container">
-      <div class="row">
-        <div class="col-sm-4">
-          <img src="Out.png" alt="Smiley face" height="1000" width="800">
-        </div>
-
-      </div>
-    </div>
-    </body>
-    </html>
-    
\ No newline at end of file
--- a/PDAUG_Peptide_CD_Spectral_Analysis/PDAUG_Peptide_CD_Spectral_Analysis.py	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_Peptide_CD_Spectral_Analysis/PDAUG_Peptide_CD_Spectral_Analysis.py	Thu Jan 28 04:10:34 2021 +0000
@@ -71,8 +71,6 @@
 
 if sys.argv[1] == "PlotData":
 
-    os.system('ls temp')
-
     if args.Type == "mean residue ellipticity":
 
         cd = CD(args.DirPath, wmin=int(args.WMin), wmax=int(args.Wmax), amide=args.Amide, pathlen=float(args.Pathlen))
@@ -119,7 +117,3 @@
     cd = CD(args.DirPath, wmin=int(args.WMin), wmax=int(args.Wmax), amide=args.Amide, pathlen=float(args.Pathlen))    
     cd.calc_meanres_ellipticity()
     cd.helicity(temperature=float(args.temperature), k=float(args.k), induction=args.Induction, filename=args.OutPut )
-
-
-
-
--- a/PDAUG_Sequence_Based_Peptide_Generation/PDAUG_Sequence_Based_Peptide_Generation.py	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_Sequence_Based_Peptide_Generation/PDAUG_Sequence_Based_Peptide_Generation.py	Thu Jan 28 04:10:34 2021 +0000
@@ -150,5 +150,5 @@
         SlidingWindowPeptide(args.InFile, args.winSize, args.FragSize, args.outputFile)
 
     else:
-        print("In Correct Option:")
+        print("Incorrect option provided: %s" % (sys.argv[1]))
 
--- a/PDAUG_Sequence_Property_Based_Descriptors/PDAUG_Sequence_Property_Based_Descriptors.py	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_Sequence_Property_Based_Descriptors/PDAUG_Sequence_Property_Based_Descriptors.py	Thu Jan 28 04:10:34 2021 +0000
@@ -43,10 +43,10 @@
 
     return df
 
-def Decriptor_generator(InFile, Lamda, Weight, DesType, Out_file):
+def Decriptor_generator(infile, lamda, weight, maxlag, destype, out_file):
 
     list_pep_name = []
-    f = open(InFile)
+    f = open(infile)
     lines = f.readlines()
     
     for line in lines:
@@ -62,62 +62,71 @@
         protein = PyPro()
         protein.ReadProteinSequence(seq)
 
-        if DesType == 'PAAC':
-            DS = protein.GetPAAC(lamda=int(Lamda), weight=float(Weight))
+ 
+        if destype == "GetAAComp":
+            DS = protein.GetAAComp()
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'APAAC':
-            DS = protein.GetAPAAC(lamda=int(Lamda), weight=float(Weight))
-            df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'CTD':
-            DS = protein.GetCTD()
-            df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'DPComp':
+        elif destype == "GetDPComp":
             DS = protein.GetDPComp()
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'GearyAuto':
-            DS = protein.GetGearyAuto()
+        elif destype == "GetTPComp":
+            DS = protein.GetTPComp()
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'MoranAuto':
-            DS = protein.GetMoranAuto()
-            df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'MoreauBrotoAuto':
+        elif destype == "GetMoreauBrotoAuto":
             DS = protein.GetMoreauBrotoAuto()
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'QSO':
-            DS = protein.GetQSO()
+        elif destype =="GetMoranAuto":
+            DS = protein.GetMoranAuto()
+            df  = pd.DataFrame(DS, index=[0])
+        elif destype =="GetGearyAuto":
+            DS = protein.GetGearyAuto()
+            df  = pd.DataFrame(DS, index=[0])
+        elif destype == "GetCTD":
+            DS = protein.GetCTD()
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'SOCN':
-            DS = protein.GetSOCN()
+        elif destype == "GetPAAC":
+            DS = protein.GetPAAC(lamda=int(lamda),  weight=float(weight))
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'TPComp':
-            DS = protein.GetTPComp()
+        elif destype == "GetAPAAC":
+            DS = protein.GetAPAAC(lamda=int(lamda), weight=float(weight))
+            df  = pd.DataFrame(DS, index=[0])
+        elif destype =="GetSOCN":
+            DS = protein.GetSOCN(maxlag=int(maxlag))
             df  = pd.DataFrame(DS, index=[0])
-        elif DesType == 'All':
-            DS_1 = protein.GetPAAC(lamda=int(Lamda), weight=float(Weight))
-            DS_2 = protein.GetAPAAC(lamda=int(Lamda), weight=float(Weight))
-            DS_3 = protein.GetCTD()
-            DS_4 = protein.GetDPComp()
-            DS_5 = protein.GetGearyAuto()
-            DS_6 = protein.GetMoranAuto()
-            DS_7 = protein.GetMoreauBrotoAuto()
-            DS_8 = protein.GetQSO()
-            DS_9 = protein.GetSOCN()
-            DS_10 = protein.GetTPComp()
+        elif destype =="GetQSO":
+            DS = protein.GetQSO(maxlag=int(maxlag),  weight=float(weight))
+            df  = pd.DataFrame(DS, index=[0])
+        elif destype == "GetTriad":
+            DS = protein.GetTriad()
+            df  = pd.DataFrame(DS, index=[0])
+        elif destype == "All":
+            DS1 = protein.GetAAComp()
+            DS2 = protein.GetDPComp()
+            DS3 = protein.GetTPComp()
+            DS4 = protein.GetMoreauBrotoAuto()
+            DS5 = protein.GetMoranAuto()
+            DS6 = protein.GetGearyAuto()
+            DS7 = protein.GetCTD()
+            DS8 = protein.GetPAAC(lamda=int(lamda),  weight=float(weight))
+            DS9 = protein.GetAPAAC(lamda=int(lamda), weight=float(weight))
+            DS10 = protein.GetSOCN(maxlag=int(maxlag))
+            DS11 = protein.GetQSO(maxlag=int(maxlag),  weight=float(weight))
+            DS12 = protein.GetTriad()
 
             DS = {}
 
-            for D in (DS_1, DS_2, DS_3, DS_4, DS_5, DS_6, DS_7, DS_8, DS_9, DS_10):
+            for D in (DS1,DS2,DS3,DS4,DS5,DS6,DS7,DS8,DS9,DS10,DS11,DS12):
+                print(D)
                 DS.update(D)
-
             df  = pd.DataFrame(DS, index=[0])
 
-        if DesType == 'BinaryDescriptor':
+        if destype == 'BinaryDescriptor':
             out_df = BinaryDescriptor(list_pep_name)
         else:
             out_df = pd.concat([out_df, df], axis=0)
 
 
-    out_df.to_csv(Out_file, index=False, sep='\t')
+    out_df.to_csv(out_file, index=False, sep='\t')
 
 
 if __name__=="__main__":
@@ -141,7 +150,12 @@
                         required=False,
                         default=0.5,
                         help="pep file")
-                        
+    
+    parser.add_argument("-m", "--MaxLag",
+                        required=False,
+                        default=10,
+                        help="pep file")  
+
     parser.add_argument("-t", "--DesType",
                         required=True,
                         default=None,
@@ -153,6 +167,6 @@
                         help="Path to target tsv file")  
                               
     args = parser.parse_args()
-    Decriptor_generator(args.InFile, args.Lamda, args.Weight, args.DesType, args.Out_file)
+    Decriptor_generator(args.InFile, args.Lamda, args.Weight, args.MaxLag, args.DesType, args.Out_file)
 
    
\ No newline at end of file
--- a/PDAUG_Sequence_Property_Based_Descriptors/test-data/Out.tsv	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_Sequence_Property_Based_Descriptors/test-data/Out.tsv	Thu Jan 28 04:10:34 2021 +0000
@@ -1,9 +1,9 @@
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--- a/PDAUG_TSVtoFASTA/test-data/1.fasta	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_TSVtoFASTA/test-data/1.fasta	Thu Jan 28 04:10:34 2021 +0000
@@ -19,4 +19,4 @@
 >21_AMP
 KLLLLKLLK
 >22_AMP
-GLFDIVKKVVGALG
\ No newline at end of file
+GLFDIVKKVVGALG
--- a/PDAUG_TSVtoFASTA/test-data/2.fasta	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_TSVtoFASTA/test-data/2.fasta	Thu Jan 28 04:10:34 2021 +0000
@@ -21,4 +21,4 @@
 >10_TM
 KLLLLKLLK
 >11_TM
-GLFDIVKKVVGALG
\ No newline at end of file
+GLFDIVKKVVGALG
--- a/PDAUG_TSVtoFASTA/test-data/out.fasta	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_TSVtoFASTA/test-data/out.fasta	Thu Jan 28 04:10:34 2021 +0000
@@ -43,4 +43,4 @@
 >21
 KLLLLKLLK
 >22
-GLFDIVKKVVGALG
\ No newline at end of file
+GLFDIVKKVVGALG
--- a/PDAUG_Word_Vector_Model/PDAUG_Word_Vector_Model.py	Tue Jan 12 19:25:08 2021 +0000
+++ b/PDAUG_Word_Vector_Model/PDAUG_Word_Vector_Model.py	Thu Jan 28 04:10:34 2021 +0000
@@ -11,6 +11,7 @@
 parser.add_argument("-M", "--min_count", required=False, default=0, help="Path to target tsv file")
 parser.add_argument("-W", "--window", required=False, default=5, help="Path to target tsv file")
 parser.add_argument("-O", "--OutFile", required=False, default='model.txt', help="Path to target tsv file")
+parser.add_argument("-S", "--SG", required=False, default='skip-gram', help="Training algorithm: 1 for skip-gram; otherwise CBOW")
 
 args = parser.parse_args()
 
@@ -30,9 +31,14 @@
 #min_count = 0
 size = 200
 #window = 5
-sg = 1
+
+print (args.SG)
+if args.SG == 'skip-gram':
+    SG = 1
+elif args.SG == 'CBOW':
+    SG = 0
 
 sentences = ProteinSeq() 
-model = gensim.models.Word2Vec(sentences, min_count=int(args.min_count), size=size, window=int(args.window), sg = sg, workers = 10)
+model = gensim.models.Word2Vec(sentences, min_count=int(args.min_count), size=size, window=int(args.window), sg = SG, workers = 10)
 model.wv.save_word2vec_format(args.OutFile, binary=False)