diff options
| -rw-r--r-- | wqflask/wqflask/marker_regression/gemma_mapping.py | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py index 68920130..54cde3c6 100644 --- a/wqflask/wqflask/marker_regression/gemma_mapping.py +++ b/wqflask/wqflask/marker_regression/gemma_mapping.py @@ -3,7 +3,7 @@ import os, math, string, random, json from base import webqtlConfig from base.trait import GeneralTrait from base.data_set import create_dataset -from utility.tools import flat_files, GEMMA_COMMAND, GEMMA_WRAPPER_COMMAND, TEMPDIR, assert_bin, assert_file +from utility.tools import flat_files, GEMMA_COMMAND, GEMMA_WRAPPER_COMMAND, TEMPDIR import utility.logger logger = utility.logger.getLogger(__name__ ) @@ -11,7 +11,6 @@ logger = utility.logger.getLogger(__name__ ) def run_gemma(this_dataset, samples, vals, covariates, method, use_loco): """Generates p-values for each marker using GEMMA""" - assert_bin(GEMMA_COMMAND); if this_dataset.group.genofile != None: genofile_name = this_dataset.group.genofile[:-5] else: @@ -193,7 +192,7 @@ def parse_gemma_output(genofile_name): # if marker['chr'] != previous_chr: # previous_chr = marker['chr'] marker['Mb'] = float(line.split("\t")[2]) / 1000000 - marker['p_value'] = float(line.split("\t")[10]) + marker['p_value'] = float(line.split("\t")[11]) if math.isnan(marker['p_value']) or (marker['p_value'] <= 0): marker['lod_score'] = 0 #marker['lrs_value'] = 0 @@ -203,7 +202,7 @@ def parse_gemma_output(genofile_name): marker_obs.append(marker) included_markers.append(line.split("\t")[1]) - p_values.append(float(line.split("\t")[10])) + p_values.append(float(line.split("\t")[11])) return marker_obs @@ -241,7 +240,7 @@ def parse_loco_output(this_dataset, gwa_output_filename): else: marker['chr'] = line.split("\t")[0] marker['Mb'] = float(line.split("\t")[2]) / 1000000 - marker['p_value'] = float(line.split("\t")[10]) + marker['p_value'] = float(line.split("\t")[11]) if math.isnan(marker['p_value']) or (marker['p_value'] <= 0): marker['lod_score'] = 0 #marker['lrs_value'] = 0 @@ -251,6 +250,6 @@ def parse_loco_output(this_dataset, gwa_output_filename): marker_obs.append(marker) included_markers.append(line.split("\t")[1]) - p_values.append(float(line.split("\t")[10])) + p_values.append(float(line.split("\t")[11])) - return marker_obs + return marker_obs
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