diff --git a/python/Gelis2PopSNPs.py b/python/Gelis2PopSNPs.py
new file mode 100755
index 000000000..3f8629716
--- /dev/null
+++ b/python/Gelis2PopSNPs.py
@@ -0,0 +1,86 @@
+import farm_commands
+import os.path
+import sys
+from optparse import OptionParser
+import string
+import re
+import glob
+import picard_utils
+import itertools
+
+gatkPath = "~/dev/GenomeAnalysisTK/trunk/dist/GenomeAnalysisTK.jar"
+ref = "/seq/references/Homo_sapiens_assembly18/v0/Homo_sapiens_assembly18.fasta"
+analysis = "CombineDuplicates"
+   
+def main():    
+    global OPTIONS, ROOT
+
+    usage = "usage: %prog lanes.list nIndividuals [options]"
+    parser = OptionParser(usage=usage)
+    parser.add_option("-q", "--farmQueue", dest="farmQueue",
+                        type="string", default=None,
+                        help="Farm queue to submit jobs to.  Leave blank for local processing")
+    parser.add_option("-l", "--lod", dest="lod",
+                        type="float", default=5,
+                        help="minimum lod for calling a variant")
+    parser.add_option("-k", "--column", dest="column",
+                        type="int", default=1,
+                        help="Column in the file with the geli file path")
+    parser.add_option("-o", "--output", dest="output",
+                        type="string", default='/dev/stdout',
+                        help="x")
+                        
+    (OPTIONS, args) = parser.parse_args()
+    if len(args) != 2:
+        parser.error("incorrect number of arguments")
+    lines = [line.split() for line in open(args[0])]
+    nIndividuals = int(args[1])
+    gelis = map( lambda x: x[OPTIONS.column-1], lines )
+    variantsOut = map( lambda geli: os.path.split(geli)[1] + '.calls', gelis)
+
+    print gelis
+    print variantsOut
+
+    nTotalSnps = 0
+    nNovelSnps = 0
+    for geli in gelis:
+        root, flowcellDotlane, ext = picard_utils.splitPath(geli)
+        dbsnp_matches = os.path.join(root, flowcellDotlane) + '.dbsnp_matches'
+        TOTAL_SNPS, NOVEL_SNPS, PCT_DBSNP, NUM_IN_DB_SNP = picard_utils.read_dbsnp(dbsnp_matches)
+        nTotalSnps += int(TOTAL_SNPS)
+        nNovelSnps += int(NOVEL_SNPS)
+        print 'DATA:    ', flowcellDotlane, TOTAL_SNPS, NOVEL_SNPS, PCT_DBSNP, NUM_IN_DB_SNP, dbsnp_matches
+    print 'DATA:    TOTAL SNP CALLS SUMMED ACROSS LANES, NOT ACCOUNT FOR IDENTITY', nTotalSnps
+    print 'DATA:    NOVEL SNP CALLS SUMMED ACROSS LANES, NOT ACCOUNT FOR IDENTITY ', nNovelSnps
+    print 'DATA:    AVERAGE DBSNP RATE ACROSS LANES ', float(nTotalSnps - nNovelSnps) / nTotalSnps
+
+    jobid = None
+    for geli, variantOut in zip(gelis, variantsOut):
+        if not os.path.exists(variantOut):
+            cmd = ("GeliToText.jar I=%s | awk '$7 > %f' > %s" % ( geli, OPTIONS.lod, variantsOut) )
+            #jobid = farm_commands.cmd(cmd, OPTIONS.farmQueue, just_print_commands=False)
+
+    cmd = ("cat %s | awk '$1 !~ \"@\" && $1 !~ \"#Sequence\" && $0 !~ \"GeliToText\"' | sort -k 1 -k 2 -n > tmp.calls" % ( ' '.join(variantsOut) ) )
+    jobid = farm_commands.cmd(cmd, OPTIONS.farmQueue, just_print_commands=False, waitID = jobid)
+
+    sortedCallFile = 'all.sorted.calls'
+    cmd = ("~/dev/GenomeAnalysisTK/trunk/perl/sortByRef.pl -k 1 tmp.calls ~/work/humanref/Homo_sapiens_assembly18.fasta.fai > %s"  % ( sortedCallFile ) )    
+    jobid = farm_commands.cmd(cmd, OPTIONS.farmQueue, just_print_commands=False, waitID = jobid)
+     
+    sortedCalls = [line.split() for line in open(sortedCallFile)]
+    aggregratedCalls = picard_utils.aggregateGeliCalls(sortedCalls)
+    
+    outputFile = open(OPTIONS.output, 'w')
+    print >> outputFile, 'loc ref alt EM_alt_freq discovery_likelihood discovery_null discovery_prior discovery_lod EM_N n_ref n_het n_hom'
+
+    for snp in map( lambda x: picard_utils.aggregatedGeliCalls2SNP(x, nIndividuals), aggregratedCalls ):
+        if snp == None: continue    # ignore bad calls
+        #print snp
+        #sharedCalls = list(sharedCallsGroup)
+        #genotype = list(sharedCalls[0][5])
+        print >> outputFile, '%s   %s %s %.6f -420.0 -420.0 0.000000 100.0 %d %d %d %d' % (snp.loc, snp.ref, snp.alt(), snp.q(), nIndividuals, snp.nRefGenotypes(), snp.nHetGenotypes(), snp.nHomVarGenotypes())
+    outputFile.close()
+    
+                
+if __name__ == "__main__":
+    main()