diff --git a/scripts/exon_length_filter.py b/scripts/exon_length_filter.py
index db8b12c7c5be97ffbd3596f7795175c4d2721f0c..23806d88185e681f8945b057dd8efe1e8ba08b6d 100644
--- a/scripts/exon_length_filter.py
+++ b/scripts/exon_length_filter.py
@@ -1,188 +1,188 @@
-#### Exon length filter #####
-"""Exon length filter
-Version 1.1.0"""
-### Called Packages ###
-import re
-import os
-
-import transcript_extractor as te
-### Functions ###
-
-def exon_length_calculator(entry):
- """This function finds the start and end cordinates of the exon and uses them to calculate its length"""
- try:
- find_exon_coordinates = re.compile("\t\d{1,15}\t")
- #this difines the pattern of the coordinates
- try_find_start_coordinates = find_exon_coordinates.search(entry)
- #this line findes the start coordinares based on the pattern
- start_coordinates = int(try_find_start_coordinates[0].replace("\t",""))
- #this line removes the \t at the end and the start of the pattern and
- #turn the string of the coordinates into intergers
- final_index_start_coordinates = entry.find(try_find_start_coordinates[0])+len(try_find_start_coordinates[0])-1
- #this line determines the indes of the final digit of the start coordinates
- sub_entry = entry[final_index_start_coordinates:]
- #this lineused the index determin above a starting point for a new sub entry
- try_find_end_coordinates = find_exon_coordinates.search(sub_entry)
- end_coordinates = int(try_find_end_coordinates[0].replace("\t",""))
- #these two lines find the end coordinates and turn tham int an int
- exon_length = end_coordinates-start_coordinates
- #this line claculates the transcript length
- except:
- print("\n\nIn the following enty only one or no valid coordinates could be found:\n",entry,"the value will be set to NA")
- exon_length = "NA"
- return(exon_length)
-
-def exon_fider(entry):
- """This funtion determines if a given entry belongs to an exon
- Expected inputs:
- entry: str #any enty of a gtf file"""
- exon_test = entry.find("\texon\t")
- #This line look for the entry exon in the file
- if exon_test == -1:
- try_exon_test = False
- else:
- try_exon_test = True
- #The block above evaluates the results of the search for the wort exon
- return(try_exon_test)
-
-def __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID):
- """This funtion encapsulates an operation that has to be carried out at several points in the exon_length_filter function and serves to make that function more modular"""
- if current_exon_length > longest_transcript:
- #This condition updates the most promesing for
- #beeing the representative transcript
- longest_transcript = current_exon_length
- longest_transcript_ID = old_transcript_ID
- current_exon_length = 0
- return(current_exon_length,longest_transcript,longest_transcript_ID)
-
-def _representative_transcript_csv (representative_transcript,file_name = "test",deposit_pathway_name =os.getcwd()):
- with open(os.path.join(deposit_pathway_name,file_name+"_"+"representative_transcripts"+".csv"),"w") as rt:
- for i in representative_transcript:
- transcript = representative_transcript[i]
- new_entry = str(i)+","+transcript+"\n"
- rt.write(new_entry)
-
-
-
-def _exon_length_filter(file_name = "test",source_pathway_name = os.getcwd(),deposit_pathway_name =os.getcwd(),gen_dict = {"ENSG00000160072":["ENST00000673477","ENST00000472194","ENST00000378736","ENST00000308647","ENST00000442483"],"ENSG00000225972":["ENST00000416931"],"ENSG00000279928":["ENST00000624431","ENST00000424215"],"ENSG00000142611":["ENST00000378391","ENST00000607632","ENST00000511072"]}):
- """This funtion selects only the transcripts for a dictionary that have the longest total mRNA"""
- bar,start_time = te.bar_builder(length_multiplyer = 3)
- total_genes = len(gen_dict)
- gens_done = 0
-
- with open(os.path.join(source_pathway_name,file_name+".gtf"), 'r') as f:
-
- old_gen = str()
- old_transcript_ID = str()
- representative_transcript = dict()
- representative_trasnscript_not_found = True
- longest_transcript_ID = str()
- current_exon_length = 0
- longest_transcript = 0
- percentage_done = 0
-
- for entry in f:
-
- try:
- corrent_gen = te.gene_ID_finder(entry)
- except:
- corrent_gen = old_gen
- #The block above test if there is a gen name in the entry
- if corrent_gen != old_gen:
- representative_trasnscript_not_found = True
-
- #The block above determines if the Gen name is new and set the test
- #representative_trasnscript_not_found back to true which is used to
- #make the program faster if there is just one transcript for a given
- #gen in the dict
- if representative_trasnscript_not_found and corrent_gen != str():
- #print(corrent_gen)
- #The conditon prvents serges if a representative transcript has
- #all ready been chosen
- if corrent_gen != old_gen:
- current_exon_length,longest_transcript,longest_transcript_ID = __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID)
- representative_transcript[old_gen] = longest_transcript_ID
- try:
- del gen_dict[old_gen]
- old_gen = corrent_gen
- gens_done += 1
- corrent_percentage_done = (gens_done/total_genes)*100
- if corrent_percentage_done > percentage_done+10:
- bar,start_time = te.bar_builder(percentage=percentage_done+10,length_multiplyer = 3,start_time=start_time,bar =bar)
- percentage_done = int(corrent_percentage_done)
-
-
- except:
- old_gen = corrent_gen
- longest_transcript = 0
- #The block above adds the transcript of the last gen that
- #had the longest exons into the representative transcripts dict
- try:
- #This try / except block test if the gen is in the input dictionary
- transcript_IDs = gen_dict[corrent_gen]
- if len(gen_dict[corrent_gen]) == 1:
- #This conditions is a short cut for Genes that
- #allready have a representative transcript
- representative_transcript=gen_dict[corrent_gen[0]]
- representative_trasnscript_not_found = False
- continue
- except:
- continue
-
- try:
- current_transcript_ID = te.transcript_ID_finder(entry)
- except:
- continue
- #The block above searches for a transcript ID in the current entry
-
- if current_transcript_ID in transcript_IDs:
- #This condition test if the Transcript is one of the
- #candidates for representative transcripts
- if current_transcript_ID != old_transcript_ID:
- #This condition if the enty still belongs to the
- #previous transcript and is triggers if that is not the case
- current_exon_length,longest_transcript,longest_transcript_ID = __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID)
- try:
- transcript_IDs.remove(old_transcript_ID)
- old_transcript_ID = current_transcript_ID
- except:
- old_transcript_ID = current_transcript_ID
- if exon_fider(entry):
- exon_length = exon_length_calculator(entry)
- current_exon_length += exon_length
- else:
- continue
- current_exon_length,longest_transcript,longest_transcript_ID = __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID)
- representative_transcript[old_gen] = longest_transcript_ID
- del representative_transcript[str()]
- te.bar_builder(100,length_multiplyer = 3,start_time=start_time,bar =bar)
- return(representative_transcript)
-
-def exon_length_filter(file_name = "test",source_pathway_name = os.getcwd(),deposit_pathway_name =os.getcwd(),gen_dict = {"ENSG00000160072":["ENST00000673477","ENST00000472194","ENST00000378736","ENST00000308647","ENST00000442483"],"ENSG00000225972":["ENST00000416931"],"ENSG00000279928":["ENST00000624431","ENST00000424215"],"ENSG00000142611":["ENST00000378391","ENST00000607632","ENST00000511072"]},Input_free = False):
- """This function filters a dictionary of genes and there transcripts by the length of there exons an selects the longes transcript for each gene ans saves tham in a "," seperated csv file.
- Expected inputs:
- file_name: str ; default = test #the name of the gft file you want to look at
- source_pathway_name: str ; default = current work directory #path of the gtf file
- deposit_pathway_name: str ; default = current work directory #path for saving the csv file
- gen_dict:dict{key == gene ID:[transcript IDs that belong to that gene]}
- Input_free: tuple ; default = False # this input should be set to True for automation"""
-
- print("Representative trascipts are filterd based on exon length please wait...")
- source_pathway_name,deposit_pathway_name = te.__do_pathways_exist__(source_pathway_name,deposit_pathway_name)
- if Input_free:
- pre_existing_file = False
- else:
- search_profile = file_name+"_"+"representative_transcripts"+".csv"
- pre_existing_file = te.__searche_for_preexisting_files(search_profile,deposit_pathway_name)
- if pre_existing_file == False:
- representative_transcript = _exon_length_filter(file_name,source_pathway_name,deposit_pathway_name,gen_dict)
- _representative_transcript_csv(representative_transcript,file_name,deposit_pathway_name)
- print("\nRepresentative transcripts collected")
-
-
-if __name__ == "__main__":
- help(exon_length_filter)
- exon_length_filter()
-
-
-#This line allows the file to be executed on its own also from
+#### Exon length filter #####
+"""Exon length filter
+Version 1.1.0"""
+### Called Packages ###
+import re
+import os
+
+import transcript_extractor as te
+### Functions ###
+
+def exon_length_calculator(entry):
+ """This function finds the start and end cordinates of the exon and uses them to calculate its length"""
+ try:
+ find_exon_coordinates = re.compile("\t\d{1,15}\t")
+ #this difines the pattern of the coordinates
+ try_find_start_coordinates = find_exon_coordinates.search(entry)
+ #this line findes the start coordinares based on the pattern
+ start_coordinates = int(try_find_start_coordinates[0].replace("\t",""))
+ #this line removes the \t at the end and the start of the pattern and
+ #turn the string of the coordinates into intergers
+ final_index_start_coordinates = entry.find(try_find_start_coordinates[0])+len(try_find_start_coordinates[0])-1
+ #this line determines the indes of the final digit of the start coordinates
+ sub_entry = entry[final_index_start_coordinates:]
+ #this lineused the index determin above a starting point for a new sub entry
+ try_find_end_coordinates = find_exon_coordinates.search(sub_entry)
+ end_coordinates = int(try_find_end_coordinates[0].replace("\t",""))
+ #these two lines find the end coordinates and turn tham int an int
+ exon_length = end_coordinates-start_coordinates
+ #this line claculates the transcript length
+ except:
+ print("\n\nIn the following enty only one or no valid coordinates could be found:\n",entry,"the value will be set to NA")
+ exon_length = "NA"
+ return(exon_length)
+
+def exon_fider(entry):
+ """This funtion determines if a given entry belongs to an exon
+ Expected inputs:
+ entry: str #any enty of a gtf file"""
+ exon_test = entry.find("\texon\t")
+ #This line look for the entry exon in the file
+ if exon_test == -1:
+ try_exon_test = False
+ else:
+ try_exon_test = True
+ #The block above evaluates the results of the search for the wort exon
+ return(try_exon_test)
+
+def __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID):
+ """This funtion encapsulates an operation that has to be carried out at several points in the exon_length_filter function and serves to make that function more modular"""
+ if current_exon_length > longest_transcript:
+ #This condition updates the most promesing for
+ #beeing the representative transcript
+ longest_transcript = current_exon_length
+ longest_transcript_ID = old_transcript_ID
+ current_exon_length = 0
+ return(current_exon_length,longest_transcript,longest_transcript_ID)
+
+def _representative_transcript_csv (representative_transcript,file_name = "test",deposit_pathway_name =os.getcwd()):
+ with open(os.path.join(deposit_pathway_name,file_name+"_"+"representative_transcripts"+".csv"),"w") as rt:
+ for i in representative_transcript:
+ transcript = representative_transcript[i]
+ new_entry = str(i)+","+transcript+"\n"
+ rt.write(new_entry)
+
+
+
+def _exon_length_filter(file_name = "test",source_pathway_name = os.getcwd(),deposit_pathway_name =os.getcwd(),gen_dict = {"ENSG00000160072":["ENST00000673477","ENST00000472194","ENST00000378736","ENST00000308647","ENST00000442483"],"ENSG00000225972":["ENST00000416931"],"ENSG00000279928":["ENST00000624431","ENST00000424215"],"ENSG00000142611":["ENST00000378391","ENST00000607632","ENST00000511072"]}):
+ """This funtion selects only the transcripts for a dictionary that have the longest total mRNA"""
+ bar,start_time = te.bar_builder(length_multiplyer = 3)
+ total_genes = len(gen_dict)
+ gens_done = 0
+
+ with open(os.path.join(source_pathway_name,file_name+".gtf"), 'r') as f:
+
+ old_gen = str()
+ old_transcript_ID = str()
+ representative_transcript = dict()
+ representative_trasnscript_not_found = True
+ longest_transcript_ID = str()
+ current_exon_length = 0
+ longest_transcript = 0
+ percentage_done = 0
+
+ for entry in f:
+
+ try:
+ corrent_gen = te.gene_ID_finder(entry)
+ except:
+ corrent_gen = old_gen
+ #The block above test if there is a gen name in the entry
+ if corrent_gen != old_gen:
+ representative_trasnscript_not_found = True
+
+ #The block above determines if the Gen name is new and set the test
+ #representative_trasnscript_not_found back to true which is used to
+ #make the program faster if there is just one transcript for a given
+ #gen in the dict
+ if representative_trasnscript_not_found and corrent_gen != str():
+ #print(corrent_gen)
+ #The conditon prvents serges if a representative transcript has
+ #all ready been chosen
+ if corrent_gen != old_gen:
+ current_exon_length,longest_transcript,longest_transcript_ID = __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID)
+ representative_transcript[old_gen] = longest_transcript_ID
+ try:
+ del gen_dict[old_gen]
+ old_gen = corrent_gen
+ gens_done += 1
+ corrent_percentage_done = (gens_done/total_genes)*100
+ if corrent_percentage_done > percentage_done+10:
+ bar,start_time = te.bar_builder(percentage=percentage_done+10,length_multiplyer = 3,start_time=start_time,bar =bar)
+ percentage_done = int(corrent_percentage_done)
+
+
+ except:
+ old_gen = corrent_gen
+ longest_transcript = 0
+ #The block above adds the transcript of the last gen that
+ #had the longest exons into the representative transcripts dict
+ try:
+ #This try / except block test if the gen is in the input dictionary
+ transcript_IDs = gen_dict[corrent_gen]
+ if len(gen_dict[corrent_gen]) == 1:
+ #This conditions is a short cut for Genes that
+ #allready have a representative transcript
+ representative_transcript=gen_dict[corrent_gen[0]]
+ representative_trasnscript_not_found = False
+ continue
+ except:
+ continue
+
+ try:
+ current_transcript_ID = te.transcript_ID_finder(entry)
+ except:
+ continue
+ #The block above searches for a transcript ID in the current entry
+
+ if current_transcript_ID in transcript_IDs:
+ #This condition test if the Transcript is one of the
+ #candidates for representative transcripts
+ if current_transcript_ID != old_transcript_ID:
+ #This condition if the enty still belongs to the
+ #previous transcript and is triggers if that is not the case
+ current_exon_length,longest_transcript,longest_transcript_ID = __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID)
+ try:
+ transcript_IDs.remove(old_transcript_ID)
+ old_transcript_ID = current_transcript_ID
+ except:
+ old_transcript_ID = current_transcript_ID
+ if exon_fider(entry):
+ exon_length = exon_length_calculator(entry)
+ current_exon_length += exon_length
+ else:
+ continue
+ current_exon_length,longest_transcript,longest_transcript_ID = __longest_transcript_finder(current_exon_length,longest_transcript,longest_transcript_ID,old_transcript_ID)
+ representative_transcript[old_gen] = longest_transcript_ID
+ del representative_transcript[str()]
+ te.bar_builder(100,length_multiplyer = 3,start_time=start_time,bar =bar)
+ return(representative_transcript)
+
+def exon_length_filter(file_name = "test",source_pathway_name = os.getcwd(),deposit_pathway_name =os.getcwd(),gen_dict = {"ENSG00000160072":["ENST00000673477","ENST00000472194","ENST00000378736","ENST00000308647","ENST00000442483"],"ENSG00000225972":["ENST00000416931"],"ENSG00000279928":["ENST00000624431","ENST00000424215"],"ENSG00000142611":["ENST00000378391","ENST00000607632","ENST00000511072"]},Input_free = False):
+ """This function filters a dictionary of genes and there transcripts by the length of there exons an selects the longes transcript for each gene ans saves tham in a "," seperated csv file.
+ Expected inputs:
+ file_name: str ; default = test #the name of the gft file you want to look at
+ source_pathway_name: str ; default = current work directory #path of the gtf file
+ deposit_pathway_name: str ; default = current work directory #path for saving the csv file
+ gen_dict:dict{key == gene ID:[transcript IDs that belong to that gene]}
+ Input_free: tuple ; default = False # this input should be set to True for automation"""
+
+ print("Representative trascipts are filterd based on exon length please wait...")
+ source_pathway_name,deposit_pathway_name = te.__do_pathways_exist__(source_pathway_name,deposit_pathway_name)
+ if Input_free:
+ pre_existing_file = False
+ else:
+ search_profile = file_name+"_"+"representative_transcripts"+".csv"
+ pre_existing_file = te.__searche_for_preexisting_files(search_profile,deposit_pathway_name)
+ if pre_existing_file == False:
+ representative_transcript = _exon_length_filter(file_name,source_pathway_name,deposit_pathway_name,gen_dict)
+ _representative_transcript_csv(representative_transcript,file_name,deposit_pathway_name)
+ print("\nRepresentative transcripts collected")
+
+
+if __name__ == "__main__":
+ help(exon_length_filter)
+ exon_length_filter()
+
+
+#This line allows the file to be executed on its own also from