我正在运行一段免费的python代码,用于检测单细胞测序数据中的CNV:
#!/usr/bin/env python
import sys
def main():
infilename = sys.argv[1]
outfilename = sys.argv[2]
statfilename = sys.argv[3]
chrominfo = ("/path/hg19.chrom.sizes.txt", 0)
bins = ("/path/hg19.bin.boundaries.50k.bowtie.k50.sorted.txt", 0)
INFILE = open(infilename, "r")
OUTFILE = open(outfilename, "w")
STATFILE = open(statfilename, "w")
binCounts = []
for i in range(len(bins)):
binCounts.append(0)
print len(binCounts)
print len(bins)
counter = 0
totalReads = 0
prevChrompos = ""
for x in INFILE:
arow = x.rstrip().split("\t")
thisChrom = arow[2]
thisChrompos = arow[3]
if thisChrom.find("_") > -1:
#print thisChrom
continue
if thisChrom == "chrM":
#print thisChrom
continue
if thisChrom == "":
continue
if chrominfo.has_key(thisChrom):
pass
else:
continue
totalReads += 1
thisChrominfo = chrominfo[thisChrom]
thisAbspos = long(thisChrompos) + long(thisChrominfo[2])
counter += 1
indexUp = len(bins) - 1
indexDown = 0
indexMid = int((indexUp - indexDown) / 2.0)
while True:
if thisAbspos >= long(bins[indexMid][2]):
indexDown = indexMid + 0
indexMid = int((indexUp - indexDown) / 2.0) + indexMid
else:
indexUp = indexMid + 0
indexMid = int((indexUp - indexDown) / 2.0) + indexDown
if indexUp - indexDown < 2:
break
binCounts[indexDown] += 1
prevChrompos = thisChrompos
for i in range(len(binCounts)):
thisRatio = float(binCounts[i]) / (float(counter) / float(len(bins)))
OUTFILE.write("\t".join(bins[i][0:3]))
OUTFILE.write("\t")
OUTFILE.write(str(binCounts[i]))
OUTFILE.write("\t")
OUTFILE.write(str(thisRatio))
OUTFILE.write("\n")
binCounts.sort()
STATFILE.write("TotalReads\tMedianBinCount\n")
STATFILE.write(str(totalReads))
STATFILE.write("\t")
STATFILE.write(str(binCounts[len(bins)/2]))
STATFILE.write("\n")
INFILE.close()
OUTFILE.close()
STATFILE.close()
def fileToDictionary(inputFile, indexColumn):
input = open(inputFile, "r")
rd = dict()
# input.readline()
for x in input:
arow = x.rstrip().split("\t")
id = arow[indexColumn]
if rd.has_key(id):
#rd[id].append(arow)
print "duplicate knowngene id = " + id
print "arow = " + str(arow)
print "rd[id] = " + str(rd[id])
else:
rd[id] = arow
input.close()
return(rd)
def fileToArray(inputFile, skipFirst):
input = open(inputFile, "r")
ra = []
for i in range(skipFirst):
input.readline()
for x in input:
arow = x.rstrip().split("\t")
ra.append(arow)
input.close()
return(ra)
if __name__ == "__main__":
main()
我在第40行收到错误:
Traceback (most recent call last):
File "/path/varbin.50k.sam.py", line 129, in <module>
main()
File "/path/varbin.50k.sam.py", line 40, in main
**if chrominfo.has_key(thisChrom):
AttributeError: 'tuple' object has no attribute 'has_key'**
我不经常使用Python,有人可以提出建议吗? 我该从哪里开始?
答案 0 :(得分:1)
你的代码期待一本字典并获得一个元组。我想你错过了一步:你需要改变
chrominfo = ("/path/hg19.chrom.sizes.txt", 0)
要
chrominfo = fileToDictionary("/path/hg19.chrom.sizes.txt", 0)
另请注意,如果dict.keys()
中的密钥,则如果dict.has_key(密钥)已被弃用,而支持