1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
|
"""
This module contains functions to interact with the `qtlreaper` utility for
computation of QTLs.
"""
import os
import subprocess
from typing import Union
from gn3.random import random_string
from gn3.settings import TMPDIR, REAPER_COMMAND
def generate_traits_file(samples, trait_values, traits_filename):
"""
Generate a traits file for use with `qtlreaper`.
PARAMETERS:
samples: A list of samples to use as the headers for the various columns.
trait_values: A list of lists of values for each trait and sample.
traits_filename: The tab-separated value to put the values in for
computation of QTLs.
"""
header = "Trait\t{}\n".format("\t".join(samples))
data = (
[header] +
["{}\t{}\n".format(i+1, "\t".join([str(i) for i in t]))
for i, t in enumerate(trait_values[:-1])] +
["{}\t{}".format(
len(trait_values), "\t".join([str(i) for i in t]))
for t in trait_values[-1:]])
with open(traits_filename, "w") as outfile:
outfile.writelines(data)
def create_output_directory(path: str):
"""Create the output directory at `path` if it does not exist."""
try:
os.mkdir(path)
except OSError:
pass
def run_reaper(
genotype_filename: str, traits_filename: str,
other_options: tuple = ("--n_permutations", "1000"),
separate_nperm_output: bool = False,
output_dir: str = TMPDIR):
"""
Run the QTLReaper command to compute the QTLs.
PARAMETERS:
genotype_filename: The complete path to a genotype file to use in the QTL
computation.
traits_filename: A path to a file previously generated with the
`generate_traits_file` function in this module, to be used in the QTL
computation.
other_options: Other options to pass to the `qtlreaper` command to modify
the QTL computations.
separate_nperm_output: A flag indicating whether or not to provide a
separate output for the permutations computation. The default is False,
which means by default, no separate output file is created.
output_dir: A path to the directory where the outputs are put
RETURNS:
The function returns a tuple of the main output file, and the output file
for the permutation computations. If the `separate_nperm_output` is `False`,
the second value in the tuple returned is `None`.
RAISES:
The function will raise a `subprocess.CalledProcessError` exception in case
of any errors running the `qtlreaper` command.
"""
create_output_directory("{}/qtlreaper".format(output_dir))
output_filename = "{}/qtlreaper/main_output_{}.txt".format(
output_dir, random_string(10))
output_list = ["--main_output", output_filename]
if separate_nperm_output:
permu_output_filename: Union[None, str] = "{}/qtlreaper/permu_output_{}.txt".format(
output_dir, random_string(10))
output_list = output_list + [
"--permu_output", permu_output_filename] # type: ignore[list-item]
else:
permu_output_filename = None
command_list = [
REAPER_COMMAND, "--geno", genotype_filename,
*other_options, # this splices the `other_options` list here
"--traits", traits_filename,
*output_list # this splices the `output_list` list here
]
subprocess.run(command_list, check=True)
return (output_filename, permu_output_filename)
def chromosome_sorter_key_fn(val):
"""
Useful for sorting the chromosomes
"""
if isinstance(val, int):
return val
return ord(val)
def organise_reaper_main_results(parsed_results):
"""
Provide the results of running reaper in a format that is easier to use.
"""
def __organise_by_chromosome(chr_name, items):
chr_items = [item for item in items if item["Chr"] == chr_name]
return {
"Chr": chr_name,
"loci": [{
"Locus": locus["Locus"],
"cM": locus["cM"],
"Mb": locus["Mb"],
"LRS": locus["LRS"],
"Additive": locus["Additive"],
"pValue": locus["pValue"]
} for locus in chr_items]}
def __organise_by_id(identifier, items):
id_items = [item for item in items if item["ID"] == identifier]
unique_chromosomes = {item["Chr"] for item in id_items}
return {
"ID": identifier,
"chromosomes": {
_chr["Chr"]: _chr for _chr in [
__organise_by_chromosome(chromo, id_items)
for chromo in sorted(
unique_chromosomes, key=chromosome_sorter_key_fn)]}}
unique_ids = {res["ID"] for res in parsed_results}
return {
trait["ID"]: trait for trait in
[__organise_by_id(_id, parsed_results) for _id in sorted(unique_ids)]}
def parse_reaper_main_results(results_file):
"""
Parse the results file of running QTLReaper into a list of dicts.
"""
with open(results_file, "r") as infile:
lines = infile.readlines()
def __parse_column_float_value(value):
# pylint: disable=W0702
try:
return float(value)
except:
return value
def __parse_column_int_value(value):
# pylint: disable=W0702
try:
return int(value)
except:
return value
def __parse_line(line):
items = line.strip().split("\t")
return items[0:2] + [__parse_column_int_value(items[2])] + [
__parse_column_float_value(item) for item in items[3:]]
header = lines[0].strip().split("\t")
return [dict(zip(header, __parse_line(line))) for line in lines[1:]]
def parse_reaper_permutation_results(results_file):
"""
Parse the results QTLReaper permutations into a list of values.
"""
with open(results_file, "r") as infile:
lines = infile.readlines()
return [float(line.strip()) for line in lines]
|