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authorCalvin <calvin@EESI>2013-03-14 12:47:16 -0400
committerCalvin <calvin@EESI>2013-03-14 12:47:16 -0400
commit4eddb94e0282828f9c8e288185f9904c583ad2ce (patch)
tree4922cfc382e25a485894e51a2c5aa0070ce8d14f
parent19f73475773a16b227aedb69a5aadbde0d054767 (diff)
get rid of OS checks for count, assume it is called count-kmers
-rwxr-xr-xsrc/python/quikr.py12
1 files changed, 2 insertions, 10 deletions
diff --git a/src/python/quikr.py b/src/python/quikr.py
index fe5ea63..802a7e0 100755
--- a/src/python/quikr.py
+++ b/src/python/quikr.py
@@ -7,7 +7,6 @@ import scipy.sparse
import numpy as np
from subprocess import *
import argparse
-import platform
import gzip
import itertools
@@ -100,15 +99,8 @@ def calculate_estimated_frequencies(input_fasta_location, trained_matrix, kmer,
species or strain).
"""
-
- uname = platform.uname()[0]
-
- # We use the count program to count ____
- if uname == "Linux" and os.path.isfile("./count-linux"):
- count_input = Popen(["./count-linux", "-r", str(kmer), "-1", "-u", input_fasta_location], stdout=PIPE)
- elif uname == "Darwin" and os.path.isfile("./count-osx"):
- count_input = Popen(["count-osx", "-r", str(kmer), "-1", "-u", input_fasta_location], stdout=PIPE)
-
+ # We use the count program to count
+ count_input = Popen(["count-kmers", "-r", str(kmer), "-1", "-u", input_fasta_location], stdout=PIPE)
# load the output of our count program and form a probability vector from the counts
counts = np.loadtxt(count_input.stdout)