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-rw-r--r--wqflask/wqflask/marker_regression/marker_regression.py107
-rw-r--r--wqflask/wqflask/marker_regression/qtlreaper_mapping.py93
-rw-r--r--wqflask/wqflask/templates/ctl_setup.html2
3 files changed, 106 insertions, 96 deletions
diff --git a/wqflask/wqflask/marker_regression/marker_regression.py b/wqflask/wqflask/marker_regression/marker_regression.py
index 37ee42a7..f340e309 100644
--- a/wqflask/wqflask/marker_regression/marker_regression.py
+++ b/wqflask/wqflask/marker_regression/marker_regression.py
@@ -35,7 +35,7 @@ from utility import helper_functions
from utility import Plot, Bunch
from utility import temp_data
from utility.benchmark import Bench
-from wqflask.marker_regression import gemma_mapping, rqtl_mapping
+from wqflask.marker_regression import gemma_mapping, rqtl_mapping, qtlreaper_mapping
from utility.tools import locate, locate_ignore_error, PYLMM_COMMAND, GEMMA_COMMAND, PLINK_COMMAND, TEMPDIR
from utility.external import shell
@@ -170,7 +170,7 @@ class MarkerRegression(object):
if start_vars['pair_scan'] == "true":
self.pair_scan = True
if self.permCheck and self.num_perm > 0:
- perm_output, self.suggestive, self.significant, results = rqtl_mapping.run_rqtl_geno(self.vals, self.dataset, self.method, self.model, self.permCheck, self.num_perm, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan)
+ self.perm_output, self.suggestive, self.significant, results = rqtl_mapping.run_rqtl_geno(self.vals, self.dataset, self.method, self.model, self.permCheck, self.num_perm, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan)
else:
results = rqtl_mapping.run_rqtl_geno(self.vals, self.dataset, self.method, self.model, self.permCheck, self.num_perm, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan)
elif self.mapping_method == "reaper":
@@ -201,7 +201,16 @@ class MarkerRegression(object):
self.control_marker = start_vars['control_marker']
self.do_control = start_vars['do_control']
logger.info("Running qtlreaper")
- results = self.gen_reaper_results()
+ results, self.json_data, self.perm_output, self.suggestive, self.significant, self.bootstrap_results = qtlreaper_mapping.gen_reaper_results(self.this_trait,
+ self.dataset,
+ self.samples,
+ self.json_data,
+ self.num_perm,
+ self.bootCheck,
+ self.num_bootstrap,
+ self.do_control,
+ self.control_marker,
+ self.manhattan_plot)
elif self.mapping_method == "plink":
results = self.run_plink()
elif self.mapping_method == "pylmm":
@@ -468,98 +477,6 @@ class MarkerRegression(object):
return sample_list
- def gen_reaper_results(self):
- genotype = self.dataset.group.read_genotype_file()
-
- if self.manhattan_plot != True:
- genotype = genotype.addinterval()
-
- samples, values, variances, sample_aliases = self.this_trait.export_informative()
-
- trimmed_samples = []
- trimmed_values = []
- for i in range(0, len(samples)):
- #if self.this_trait.data[samples[i]].name2 in self.dataset.group.samplelist:
- if self.this_trait.data[samples[i]].name in self.samples:
- trimmed_samples.append(samples[i])
- trimmed_values.append(values[i])
-
- if self.num_perm < 100:
- self.suggestive = 0
- self.significant = 0
- else:
- self.perm_output = genotype.permutation(strains = trimmed_samples, trait = trimmed_values, nperm=self.num_perm)
- self.suggestive = self.perm_output[int(self.num_perm*0.37-1)]
- self.significant = self.perm_output[int(self.num_perm*0.95-1)]
- self.highly_significant = self.perm_output[int(self.num_perm*0.99-1)]
-
- self.json_data['suggestive'] = self.suggestive
- self.json_data['significant'] = self.significant
-
- if self.control_marker != "" and self.do_control == "true":
- reaper_results = genotype.regression(strains = trimmed_samples,
- trait = trimmed_values,
- control = str(self.control_marker))
- if self.bootCheck:
- control_geno = []
- control_geno2 = []
- _FIND = 0
- for _chr in genotype:
- for _locus in _chr:
- if _locus.name == self.control_marker:
- control_geno2 = _locus.genotype
- _FIND = 1
- break
- if _FIND:
- break
- if control_geno2:
- _prgy = list(genotype.prgy)
- for _strain in trimmed_samples:
- _idx = _prgy.index(_strain)
- control_geno.append(control_geno2[_idx])
-
- self.bootstrap_results = genotype.bootstrap(strains = trimmed_samples,
- trait = trimmed_values,
- control = control_geno,
- nboot = self.num_bootstrap)
- else:
- reaper_results = genotype.regression(strains = trimmed_samples,
- trait = trimmed_values)
-
- if self.bootCheck:
- self.bootstrap_results = genotype.bootstrap(strains = trimmed_samples,
- trait = trimmed_values,
- nboot = self.num_bootstrap)
-
- self.json_data['chr'] = []
- self.json_data['pos'] = []
- self.json_data['lod.hk'] = []
- self.json_data['markernames'] = []
- #if self.additive:
- # self.json_data['additive'] = []
-
- #Need to convert the QTL objects that qtl reaper returns into a json serializable dictionary
- qtl_results = []
- for qtl in reaper_results:
- reaper_locus = qtl.locus
- #ZS: Convert chr to int
- converted_chr = reaper_locus.chr
- if reaper_locus.chr != "X" and reaper_locus.chr != "X/Y":
- converted_chr = int(reaper_locus.chr)
- self.json_data['chr'].append(converted_chr)
- self.json_data['pos'].append(reaper_locus.Mb)
- self.json_data['lod.hk'].append(qtl.lrs)
- self.json_data['markernames'].append(reaper_locus.name)
- #if self.additive:
- # self.json_data['additive'].append(qtl.additive)
- locus = {"name":reaper_locus.name, "chr":reaper_locus.chr, "cM":reaper_locus.cM, "Mb":reaper_locus.Mb}
- qtl = {"lrs_value": qtl.lrs, "chr":converted_chr, "Mb":reaper_locus.Mb,
- "cM":reaper_locus.cM, "name":reaper_locus.name, "additive":qtl.additive, "dominance":qtl.dominance}
- qtl_results.append(qtl)
-
- return qtl_results
-
-
def parse_plink_output(self, output_filename):
plink_results={}
diff --git a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py
new file mode 100644
index 00000000..568991f7
--- /dev/null
+++ b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py
@@ -0,0 +1,93 @@
+def gen_reaper_results(this_trait, dataset, samples_before, json_data, num_perm, bootCheck, num_bootstrap, do_control, control_marker, manhattan_plot):
+ genotype = dataset.group.read_genotype_file()
+
+ if manhattan_plot != True:
+ genotype = genotype.addinterval()
+
+ samples, values, variances, sample_aliases = this_trait.export_informative()
+
+ trimmed_samples = []
+ trimmed_values = []
+ for i in range(0, len(samples)):
+ if this_trait.data[samples[i]].name in samples_before:
+ trimmed_samples.append(samples[i])
+ trimmed_values.append(values[i])
+
+ perm_output = []
+ bootstrap_results = []
+
+ if num_perm < 100:
+ suggestive = 0
+ significant = 0
+ else:
+ perm_output = genotype.permutation(strains = trimmed_samples, trait = trimmed_values, nperm=num_perm)
+ suggestive = perm_output[int(num_perm*0.37-1)]
+ significant = perm_output[int(num_perm*0.95-1)]
+ highly_significant = perm_output[int(num_perm*0.99-1)]
+
+ json_data['suggestive'] = suggestive
+ json_data['significant'] = significant
+
+ if control_marker != "" and do_control == "true":
+ reaper_results = genotype.regression(strains = trimmed_samples,
+ trait = trimmed_values,
+ control = str(control_marker))
+ if bootCheck:
+ control_geno = []
+ control_geno2 = []
+ _FIND = 0
+ for _chr in genotype:
+ for _locus in _chr:
+ if _locus.name == control_marker:
+ control_geno2 = _locus.genotype
+ _FIND = 1
+ break
+ if _FIND:
+ break
+ if control_geno2:
+ _prgy = list(genotype.prgy)
+ for _strain in trimmed_samples:
+ _idx = _prgy.index(_strain)
+ control_geno.append(control_geno2[_idx])
+
+ bootstrap_results = genotype.bootstrap(strains = trimmed_samples,
+ trait = trimmed_values,
+ control = control_geno,
+ nboot = num_bootstrap)
+ else:
+ reaper_results = genotype.regression(strains = trimmed_samples,
+ trait = trimmed_values)
+
+ if bootCheck:
+ bootstrap_results = genotype.bootstrap(strains = trimmed_samples,
+ trait = trimmed_values,
+ nboot = num_bootstrap)
+
+ json_data['chr'] = []
+ json_data['pos'] = []
+ json_data['lod.hk'] = []
+ json_data['markernames'] = []
+ #if self.additive:
+ # self.json_data['additive'] = []
+
+ #Need to convert the QTL objects that qtl reaper returns into a json serializable dictionary
+ qtl_results = []
+ for qtl in reaper_results:
+ reaper_locus = qtl.locus
+ #ZS: Convert chr to int
+ converted_chr = reaper_locus.chr
+ if reaper_locus.chr != "X" and reaper_locus.chr != "X/Y":
+ converted_chr = int(reaper_locus.chr)
+ json_data['chr'].append(converted_chr)
+ json_data['pos'].append(reaper_locus.Mb)
+ json_data['lod.hk'].append(qtl.lrs)
+ json_data['markernames'].append(reaper_locus.name)
+ #if self.additive:
+ # self.json_data['additive'].append(qtl.additive)
+ locus = {"name":reaper_locus.name, "chr":reaper_locus.chr, "cM":reaper_locus.cM, "Mb":reaper_locus.Mb}
+ qtl = {"lrs_value": qtl.lrs, "chr":converted_chr, "Mb":reaper_locus.Mb,
+ "cM":reaper_locus.cM, "name":reaper_locus.name, "additive":qtl.additive, "dominance":qtl.dominance}
+ qtl_results.append(qtl)
+
+
+ return qtl_results, json_data, perm_output, suggestive, significant, bootstrap_results
diff --git a/wqflask/wqflask/templates/ctl_setup.html b/wqflask/wqflask/templates/ctl_setup.html
index 51553322..a05379a8 100644
--- a/wqflask/wqflask/templates/ctl_setup.html
+++ b/wqflask/wqflask/templates/ctl_setup.html
@@ -12,7 +12,7 @@
</div>
{% else %}
<h1>CTL analysis parameters</h1>
- {{(request.form['trait_list'].split(',')|length -1)}} traits as input
+ {{(request.form['trait_list'].split(',')|length)}} traits as input
<form action="/ctl_results" method="post" class="form-horizontal">
<input type="hidden" name="trait_list" id="trait_list" value= "{{request.form['trait_list']}}">
generated by cgit v1.2.3 (git 2.44.0) at 2024-11-23 04:36:34 +0000