--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/tools/solid_tools/solid_qual_stats.py	Fri Mar 09 19:37:19 2012 -0500
@@ -0,0 +1,140 @@
+#!/usr/bin/env python
+#Guruprasad Ananda
+
+import sys, os, zipfile, tempfile
+
+QUAL_UPPER_BOUND = 41
+QUAL_LOWER_BOUND = 1
+
+def stop_err( msg ):
+    sys.stderr.write( "%s\n" % msg )
+    sys.exit()
+ 
+def unzip( filename ):
+    zip_file = zipfile.ZipFile( filename, 'r' )
+    tmpfilename = tempfile.NamedTemporaryFile().name
+    for name in zip_file.namelist():
+        file( tmpfilename, 'a' ).write( zip_file.read( name ) )
+    zip_file.close()
+    return tmpfilename
+   
+def __main__():
+
+    infile_score_name = sys.argv[1].strip()
+    fout = open(sys.argv[2].strip(),'r+w')
+
+    infile_is_zipped = False
+    if zipfile.is_zipfile( infile_score_name ):
+        infile_is_zipped = True
+        infile_name = unzip( infile_score_name )
+    else:
+        infile_name = infile_score_name
+    
+    readlen = None
+    invalid_lines = 0
+    j = 0
+    for line in file( infile_name ):
+        line = line.strip()
+        if not(line) or line.startswith("#") or line.startswith(">"):
+            continue
+        elems = line.split()
+        try:
+            for item in elems:
+                int(item)
+            if not readlen:
+                readlen = len(elems)
+            if len(elems) != readlen:
+                print "Note: Reads in the input dataset are of variable lengths."
+            j += 1
+        except ValueError:
+            invalid_lines += 1
+        if j > 10:
+            break
+        
+    position_dict = {}
+    print >>fout, "column\tcount\tmin\tmax\tsum\tmean\tQ1\tmed\tQ3\tIQR\tlW\trW"
+    for k,line in enumerate(file( infile_name )):
+        line = line.strip()
+        if not(line) or line.startswith("#") or line.startswith(">"):
+            continue
+        elems = line.split()
+        if position_dict == {}:
+            for pos in range(readlen):
+                position_dict[pos] = [0]*QUAL_UPPER_BOUND
+        if len(elems) != readlen:
+            invalid_lines += 1
+            continue
+        for ind,item in enumerate(elems):
+            try:
+                item = int(item)
+                position_dict[ind][item]+=1
+            except:
+                pass
+    
+    invalid_positions = 0
+    for pos in position_dict:
+        carr = position_dict[pos] #count array for position pos
+        total = sum(carr) #number of bases found in this column.
+        med_elem = int(round(total/2.0))
+        lowest = None   #Lowest quality score value found in this column.
+        highest = None  #Highest quality score value found in this column.
+        median = None   #Median quality score value found in this column.
+        qsum = 0.0      #Sum of quality score values for this column.
+        q1 = None       #1st quartile quality score.
+        q3 = None       #3rd quartile quality score.
+        q1_elem = int(round((total+1)/4.0))
+        q3_elem = int(round((total+1)*3/4.0))
+        
+        try:
+            for ind,cnt in enumerate(carr):
+                qsum += ind*cnt
+                
+                if cnt!=0:
+                    highest = ind
+                
+                if lowest==None and cnt!=0:  #first non-zero count
+                    lowest = ind
+                
+                if q1==None:
+                    if sum(carr[:ind+1]) >= q1_elem:
+                        q1 = ind
+                           
+                if median==None:
+                    if sum(carr[:ind+1]) < med_elem:
+                        continue
+                    median = ind
+                    if total%2 == 0: #even number of elements
+                        median2 = median
+                        if sum(carr[:ind+1]) < med_elem+1:
+                            for ind2,elem in enumerate(carr[ind+1:]):
+                                if elem != 0:
+                                    median2 = ind+ind2+1
+                                    break
+                        median = (median + median2)/2.0
+    
+                
+                if q3==None:
+                    if sum(carr[:ind+1]) >= q3_elem:
+                        q3 = ind
+                 
+                
+            mean = qsum/total    #Mean quality score value for this column.
+            iqr = q3-q1
+            left_whisker = max(q1 - 1.5*iqr,lowest)
+            right_whisker = min(q3 + 1.5*iqr,highest)
+            
+            print >>fout,"%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s" %(pos+1,total,lowest,highest,qsum,mean,q1,median,q3,iqr,left_whisker,right_whisker)
+        except:
+            invalid_positions += 1
+            nullvals = ['NA']*11
+            print >>fout,"%s\t%s" %(pos+1,'\t'.join(nullvals))
+
+    if invalid_lines:
+        print "Skipped %d reads as invalid." %invalid_lines
+    if invalid_positions:
+        print "Skipped stats computation for %d read positions." %invalid_positions
+        
+if __name__=="__main__":
+    __main__()
+        
+