diff options
Diffstat (limited to 'wqflask')
| -rw-r--r-- | wqflask/wqflask/marker_regression/gemma_mapping.py | 46 |
1 files changed, 8 insertions, 38 deletions
diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py index 61e4897c..630a3afa 100644 --- a/wqflask/wqflask/marker_regression/gemma_mapping.py +++ b/wqflask/wqflask/marker_regression/gemma_mapping.py @@ -80,7 +80,7 @@ def run_gemma(this_trait, this_dataset, samples, vals, covariates, use_loco, maf os.system(generate_k_command) - gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --input %s/gn2/%s.json -- ' % (TEMPDIR, k_output_filename) + GEMMAOPTS + ' -a %s/%s_snps.txt -lmm 2 -g %s/%s_geno.txt -p %s/gn2/%s.txt' % (flat_files('genotype/bimbam'), + gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --input %s/gn2/%s.json -- ' % (TEMPDIR, k_output_filename) + GEMMAOPTS + ' -a %s/%s_snps.txt -lmm 9 -g %s/%s_geno.txt -p %s/gn2/%s.txt' % (flat_files('genotype/bimbam'), genofile_name, flat_files('genotype/bimbam'), genofile_name, @@ -101,7 +101,7 @@ def run_gemma(this_trait, this_dataset, samples, vals, covariates, use_loco, maf marker_obs = parse_loco_output(this_dataset, gwa_output_filename) return marker_obs, gwa_output_filename else: - marker_obs = parse_loco_output(this_dataset, gwa_output_filename) + marker_obs = parse_loco_output(this_dataset, gwa_output_filename, use_loco) return marker_obs, gwa_output_filename def gen_pheno_txt_file(this_dataset, genofile_name, vals, trait_filename): @@ -145,41 +145,7 @@ def gen_covariates_file(this_dataset, covariates, samples): outfile.write(str(this_covariate[i]) + "\t") outfile.write("\n") -def parse_gemma_output(genofile_name): - included_markers = [] - p_values = [] - marker_obs = [] - - with open("{}{}_output.assoc.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, genofile_name)) as output_file: - for line in output_file: - if line.startswith("chr\t"): - continue - else: - marker = {} - marker['name'] = line.split("\t")[1] - if line.split("\t")[0] != "X" and line.split("\t")[0] != "X/Y": - if "chr" in line.split("\t")[0]: - marker['chr'] = int(line.split("\t")[0][3:]) - else: - marker['chr'] = int(line.split("\t")[0]) - else: - marker['chr'] = line.split("\t")[0] - marker['Mb'] = float(line.split("\t")[2]) / 1000000 - marker['p_value'] = float(line.split("\t")[9]) - if math.isnan(marker['p_value']) or (marker['p_value'] <= 0): - marker['lod_score'] = 0 - #marker['lrs_value'] = 0 - else: - marker['lod_score'] = -math.log10(marker['p_value']) - #marker['lrs_value'] = -math.log10(marker['p_value']) * 4.61 - marker_obs.append(marker) - - included_markers.append(line.split("\t")[1]) - p_values.append(float(line.split("\t")[9])) - - return marker_obs - -def parse_loco_output(this_dataset, gwa_output_filename): +def parse_loco_output(this_dataset, gwa_output_filename, loco="True"): output_filelist = [] with open("{}/gn2/".format(TEMPDIR) + gwa_output_filename + ".json") as data_file: @@ -218,7 +184,11 @@ 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")[9]) + if loco == "True": + marker['p_value'] = float(line.split("\t")[9]) + else: + marker['p_value'] = float(line.split("\t")[10]) + marker['additive'] = float(line.split("\t")[7]) if math.isnan(marker['p_value']) or (marker['p_value'] <= 0): marker['lod_score'] = 0 #marker['lrs_value'] = 0 |