# HG changeset patch
# User tyty
# Date 1429035447 14400
# Node ID 75e3711e23c481584f081ee109c239ad106f1b44
# Parent  62e8f7adf1ab2b07a1ff43e1b0c996a50d48de37
Uploaded
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._.DS_Store
Binary file predict/._.DS_Store has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._ct_to_dot.py
Binary file predict/._ct_to_dot.py has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._dot_convert.py
Binary file predict/._dot_convert.py has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._parse_dis_pac.py
Binary file predict/._parse_dis_pac.py has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._predict_RNAs.py
Binary file predict/._predict_RNAs.py has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._read_file.py
Binary file predict/._read_file.py has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/._rtts_plot.py
Binary file predict/._rtts_plot.py has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/ct_to_dot.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/predict/ct_to_dot.py	Tue Apr 14 14:17:27 2015 -0400
@@ -0,0 +1,36 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import sys
+import shlex
+import os
+import subprocess
+from read_file import *
+
+ct_file = sys.argv[1]
+path = sys.argv[2]
+id_s = sys.argv[3]
+result_file = sys.argv[4]
+
+h = file(result_file, 'w')
+os.system('grep "'+id_s+'" '+ct_file+' |wc -l > '+path+'/count.txt')
+count = read_t_file(path+'/count.txt')
+comm = ''
+for i in range(int(count[0][0])):
+    command = shlex.split('ct2dot %s %s %s' % (ct_file, str(i+1), os.path.join(path, 'db_file_%s.dbnn' % str(i+1))))
+    subprocess.call(command)
+    comm = comm +' '+path+'/db_file_'+str(i+1)+'.dbnn' 
+
+
+
+os.system('cat'+comm+' > '+result_file)
+for i in range(int(count[0][0])):
+    command = shlex.split('rm %s' % (os.path.join(path, 'db_file_%s.dbnn' % str(i+1))))
+    subprocess.call(command)
+command = shlex.split('rm %s' % (os.path.join(path, 'count.txt')))
+subprocess.call(command)
+    
+
+
+h.close()
+
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/dot_convert.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/predict/dot_convert.py	Tue Apr 14 14:17:27 2015 -0400
@@ -0,0 +1,45 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import sys
+
+dot_file = sys.argv[1]
+result_file = sys.argv[2]
+
+h = file(result_file, 'w')
+f = open(dot_file)
+
+
+
+for aline in f.readlines():
+    line = aline.strip()
+    if line.find('>')!=-1:
+        id_line = line
+        idt = id_line.split('>')
+        ids = idt[1].strip()
+    else:
+        if line.find('(')!=-1:
+            structure_line = line
+            st = structure_line.split(' ')
+            structure = st[0].strip()
+            enert = st[1].strip()
+            if len(enert)>1:
+                enertt = enert.split('(')
+                enertt = enertt[1].strip()
+            else:
+                enertt = st[2].strip()
+            enerttt = enertt.split(')')
+            ener = enerttt[0].strip()
+            h.write('>ENERGY = '+ener+'  '+ids+'\n')
+            h.write(seq+'\n')
+            h.write(structure+'\n')
+        else:
+            seq = line
+
+
+    
+
+
+f.close()
+h.close()
+
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/parse_dis_pac.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/predict/parse_dis_pac.py	Tue Apr 14 14:17:27 2015 -0400
@@ -0,0 +1,43 @@
+#parse reactivity file into a dictionary
+
+import sys
+
+def parse_dist(in_file):
+    result = []
+    distribution = {}
+    name = []
+    f = open(in_file)
+    for aline in f.readlines():
+        line = aline.strip()
+        dis = line.strip()
+        dist = dis.split('\t') #split the line and the reactivites or reads are in a list
+        if len(dist) > 0:
+            if len(dist) == 1:
+                if dist[0].strip().find('coverage')==-1:
+                    name.append(line) #add the name in the name list
+                    flag = 1
+                    t_name = line
+            else:
+                distri = []
+                for i in range(0, len(dist)):
+                    distri.append(dist[i].strip())
+                distribution[t_name] = distri #add the list of reactivities into a dictionary
+    result.append(name)
+    result.append(distribution) #Output the dictionary
+    f.close()
+    return result
+                
+                
+
+
+
+
+
+
+
+        
+
+
+
+
+
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/parse_dis_pac.pyc
Binary file predict/parse_dis_pac.pyc has changed
diff -r 62e8f7adf1ab -r 75e3711e23c4 predict/predict_RNAs.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/predict/predict_RNAs.py	Tue Apr 14 14:17:27 2015 -0400
@@ -0,0 +1,219 @@
+#RNA structure prediction & Output and illustrate reactivities
+
+import sys
+import shlex
+import subprocess
+import tarfile
+from parse_dis_pac import *
+from read_file import *
+from Bio import SeqIO
+import os
+from rtts_plot import *
+import random
+import string
+
+
+id_file = sys.argv[1]
+seq_file = sys.argv[2]
+predict_type = sys.argv[3]
+temperature = sys.argv[4]
+predict_program = sys.argv[5]
+output_html = sys.argv[6]
+output_directory = sys.argv[7]
+
+
+
+flag = False
+if predict_type!='silico': #input reactivity file if provided
+    if predict_program == 'rs':
+        react_file = sys.argv[8]
+        slope = sys.argv[9]
+        intercept = sys.argv[10]
+    else:
+        react_file = sys.argv[8]
+        thres_h = sys.argv[9]
+        thres_h = float(thres_h)
+        thres_l = sys.argv[10]
+        thres_l = float(thres_l)
+        gqs = sys.argv[11]
+        gqs = int(gqs)
+        
+    react = parse_dist(react_file)
+    react = react[1]
+    flag = True
+else:
+    if predict_program!='rs':
+        gqs = sys.argv[8]
+        gqs = int(gqs)
+
+
+ospath = os.path.realpath(sys.argv[0])
+ost = ospath.split('/')
+syspathpt = ""
+for i in range(len(ost)-1):
+    syspathpt = syspathpt+ost[i].strip()
+    syspathpt = syspathpt+'/'
+
+
+syspath = os.getcwd()
+
+ids = read_t_file(id_file)
+sequences = SeqIO.parse(seq_file, 'fasta')
+
+
+seqs = {}
+for seq in sequences:
+    seqs[seq.id] = seq.seq.tostring()
+
+if len(ids)>100: #setup a limit of the number of sequence to be predicted
+    print("Number of sequences exceeds limitation!")
+    sys.exit(0)
+    
+
+#predict RNA structures
+
+os.mkdir(output_directory)
+flag3 = 0
+
+id_predicted = set()
+for i in range(len(ids)):
+    flag2 = 0
+    id_s = ids[i][0]
+    #print(id_s)
+    #Put RNA sequence and reactivities into files
+    if id_s in seqs:
+        fh = file(os.path.join(syspath,"temp.txt"), 'w')        
+        fh.write('>'+id_s)
+        fh.write('\n')
+        fh.write(seqs[id_s])
+        fh.close()
+        if not flag:
+            if predict_program == 'rs':
+                command = shlex.split('Fold %s -T %s %s' % (os.path.join(syspath, 'temp.txt'), temperature, os.path.join(output_directory, '%s.ct' % id_s)))
+                subprocess.call(command)
+                command = shlex.split('python %s %s %s %s %s' % (os.path.join(syspathpt, 'ct_to_dot.py'), os.path.join(output_directory, '%s.ct' % id_s), output_directory, id_s, os.path.join(output_directory, '%s.dbn' % id_s)))
+                subprocess.call(command)               
+            else:
+                if gqs:
+                    os.system('RNAfold < '+syspath+'/temp.txt -T '+str(float(temperature)-273.15)+' --noconv -g > '+output_directory+'/'+id_s+'.dbnb')
+                    
+                else:
+                    os.system('RNAfold < '+syspath+'/temp.txt -T '+str(float(temperature)-273.15)+' --noconv --noPS > '+output_directory+'/'+id_s+'.dbnb')
+                command = shlex.split('python %s %s %s' % (os.path.join(syspathpt, 'dot_convert.py'), os.path.join(output_directory, '%s.dbnb' % id_s), os.path.join(output_directory, '%s.dbn' % id_s)))
+                subprocess.call(command)
+                if not gqs:
+                    command = shlex.split('dot2ct %s %s' % (os.path.join(output_directory, '%s.dbn' % id_s), os.path.join(output_directory, '%s.ct' % id_s)))
+                else:
+                    command = shlex.split('mv -f %s %s' % (os.path.join(syspath, '%s_ss.ps' % id_s), os.path.join(output_directory, '%s.ps' % id_s)))
+                subprocess.call(command)
+                command = shlex.split('rm %s' % (os.path.join(output_directory, '%s.dbnb' % id_s)))
+                subprocess.call(command)
+        else:
+            if id_s in react:
+                fh = file(os.path.join(syspath, "constraint.txt"), 'w')
+                make_plot(react[id_s], id_s, output_directory) #make a plot of the distribution of the reactivites of the input RNA
+                if predict_program == 'rs': 
+                    for j in range(0, (len(react[id_s]))):
+                        if react[id_s][j]!='NA':
+                            fh.write(str(j+1))
+                            fh.write('\t')
+                            fh.write(str(react[id_s][j]))
+                            fh.write('\n')
+                    fh.close()
+                    command = shlex.split("Fold %s -sh %s -si %s -sm %s -T %s %s" % (os.path.join(syspath, "temp.txt"), 
+                                                                 os.path.join(syspath, "constraint.txt"), intercept, slope, temperature, 
+                                                                 os.path.join(output_directory, "%s.ct" % id_s)))
+                    subprocess.call(command)
+                    command = shlex.split('python %s %s %s %s %s' % (os.path.join(syspathpt, 'ct_to_dot.py'), os.path.join(output_directory, '%s.ct' % id_s), output_directory, id_s, os.path.join(output_directory, '%s.dbn' % id_s)))
+                    subprocess.call(command)
+                else:
+                    fh.write('>'+id_s)
+                    fh.write('\n')
+                    fh.write(seqs[id_s])
+                    fh.write('\n')
+                    for j in range(0, (len(react[id_s]))):
+                        if react[id_s][j]!='NA':
+                            re = float(react[id_s][j])
+                            if re>thres_h:
+                                fh.write('x')
+                            else:
+                                if re \n')
+    h.write('Click here to download the compressed file containing all prediction results.\n' % (('prediction_results.tar')))
+    #h.write('<\p>\n')
+    h.write('Results of RNA structure prediction
\n')
+
+    
+    for id_p in id_predicted:
+        h.write(''+id_p+'