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| author | Pjotr Prins | 2016-05-31 06:57:29 +0000 |
|---|---|---|
| committer | Pjotr Prins | 2016-05-31 06:57:29 +0000 |
| commit | 6379febc4511fe341644b71121605487b4bc7cb0 (patch) | |
| tree | 6520e4fdb9dd2123d6b56d0525755edcd387cb3b | |
| parent | c39e0fbf9c57ebae38a73be0db6f99f8a393dd9a (diff) | |
| download | genenetwork2-6379febc4511fe341644b71121605487b4bc7cb0.tar.gz | |
Renamed TEXTDIR to GENERATED_TEXT_DIR
| -rw-r--r-- | wqflask/wqflask/correlation/show_corr_results.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py index 6d8dd76a..c1ad1c84 100644 --- a/wqflask/wqflask/correlation/show_corr_results.py +++ b/wqflask/wqflask/correlation/show_corr_results.py @@ -161,7 +161,7 @@ class CorrelationResults(object): self.correlation_data = {} db_filename = self.getFileName(target_db_name = self.target_dataset.name) - cache_available = db_filename in os.listdir(webqtlConfig.TEXTDIR) + cache_available = db_filename in os.listdir(webqtlConfig.GENERATED_TEXT_DIR) if self.corr_type == "tissue": self.trait_symbol_dict = self.dataset.retrieve_genes("Symbol") @@ -179,7 +179,7 @@ class CorrelationResults(object): elif self.corr_type == "sample": if self.dataset.type == "ProbeSet" and cache_available: - dataset_file = open(webqtlConfig.TEXTDIR+db_filename,'r') + dataset_file = open(webqtlConfig.GENERATED_TEXT_DIR+db_filename,'r') #XZ, 01/08/2009: read the first line line = dataset_file.readline() @@ -571,7 +571,7 @@ class CorrelationResults(object): #db_filename = self.getFileName(target_db_name=self.target_db_name) # - #cache_available = db_filename in os.listdir(webqtlConfig.TEXTDIR) + #cache_available = db_filename in os.listdir(webqtlConfig.GENERATED_TEXT_DIR) # If the cache file exists, do a cached correlation for probeset data if self.dataset.type == "ProbeSet": @@ -1308,7 +1308,7 @@ class CorrelationResults(object): # return allcorrelations - datasetFile = open(webqtlConfig.TEXTDIR+db_filename,'r') + datasetFile = open(webqtlConfig.GENERATED_TEXT_DIR+db_filename,'r') print("Invoking parallel computing") input_line_list = datasetFile.readlines() |