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Delete PTL1/Transcriptomes/Scripts/6_FilterPartials.py
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#!/usr/bin/env python3.5
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##__Updated__: 2023-09-18
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##__Author__: Xyrus Maurer-Alcala; maurerax@gmail.com; xyrus.maurer-alcala@izb.unibe.ch
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##__Usage__: python 6_FilterPartials.py --help
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##################################################################################################
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## This script is intended to remove incomplete transcripts that have a more complete mate ##
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## ##
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## Prior to running this script, ensure the following: ##
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## ##
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## 1. You have assembled your transcriptome and COPIED the 'assembly' file ##
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## (contigs.fasta, or scaffolds.fasta) to the PostAssembly Folder ##
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## 2. Removed small sequences (usually sequences < 300bp) with ContigFilterPlusStats.py ##
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## 3. Removed SSU/LSU sequences from your Fasta File ##
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## 4. Classified your sequences as Strongly Prokaryotic/Eukaryotic or Undetermined ##
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## 5. Classified the Non-Strongly Prokaryotic sequences into OGs ##
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## 6. You either know (or have inferred) the genetic code of the organism ##
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## 7. You have translated the sequences and checked for the data in the RemovePartials folder ##
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## ##
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## E-mail Xyrus (author) for help if needed: maurerax@gmail.com ##
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## ##
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## Next Script(s) to Run: ##
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## 7_FinalRename.py ##
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## ##
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##################################################################################################
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from Bio import SeqIO
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from Bio.Seq import Seq
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from statistics import mean
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from distutils import spawn
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import argparse, os, sys, time, re
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from argparse import RawTextHelpFormatter,SUPPRESS
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#------------------------------ Colors For Print Statements ------------------------------#
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class color:
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PURPLE = '\033[95m'
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CYAN = '\033[96m'
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DARKCYAN = '\033[36m'
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ORANGE = '\033[38;5;214m'
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BLUE = '\033[94m'
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GREEN = '\033[92m'
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YELLOW = '\033[93m'
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RED = '\033[91m'
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BOLD = '\033[1m'
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UNDERLINE = '\033[4m'
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END = '\033[0m'
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#------------------------------- Main Functions of Script --------------------------------#
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###########################################################################################
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###---------------------------- UPDATE DIAMOND PATH BELOW! -----------------------------###
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###########################################################################################
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## IF Diamond is IN YOUR PATH then no updating is needed...
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def check_diamond_path():
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diamond_path = ''
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if diamond_path == '':
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diamond_path = spawn.find_executable("diamond")
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#diamond_path = '/path/to/diamond'
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else:
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pass
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if diamond_path == None:
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print (color.BOLD + '\n\nPlease open this script and check that you have included'\
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+' the PATH to the'+color.BLUE+' "diamond" '+color.END+color.BOLD+'executable.\n\n'+color.END)
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print (color.BOLD+color.BLUE+'LOOK FOR:\n\n'+color.RED\
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+'#------------------------------ UPDATE DIAMOND PATH BELOW! -------------------------------#'\
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+color.BLUE+'\n\nThis is somewhere around lines 50 - 80...\n\n'+color.END)
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sys.exit()
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else:
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pass
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return diamond_path
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###########################################################################################
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###--------------------- Parses and Checks Command-Line Arguments ----------------------###
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###########################################################################################
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def check_args():
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parser = argparse.ArgumentParser(description=
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color.BOLD + '\n\nThis script is intended to '+color.RED+'Identify and Collapse '+color.END\
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+color.BOLD+'partial '+color.PURPLE+'ORFS\n'+color.END+color.BOLD+'present within a '\
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+color.RED+'Given'+color.END+color.BOLD+' transcriptome (or replicate) transcriptome(s)'\
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+usage_msg(), usage=SUPPRESS, formatter_class=RawTextHelpFormatter)
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required_arg_group = parser.add_argument_group(color.ORANGE+color.BOLD+'Required Options'+color.END)
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required_arg_group.add_argument('--file_prefix','-fp', action='store',
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help=color.BOLD+color.GREEN+' File prefix that is unique (or common)\n to the files '\
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'to be processed\n'+color.END)
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optional_arg_group = parser.add_argument_group(color.ORANGE+color.BOLD+'Options'+color.END)
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optional_arg_group.add_argument('--identity','-id', type=float, action='store', default=0.98,
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help=color.BOLD+color.GREEN+' Identity threshold for identifying \n "partials" to larger'\
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' contigs\n (default = 0.98)\n'+color.END)
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optional_arg_group.add_argument('-author', action='store_true',
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help=color.BOLD+color.GREEN+' Prints author contact information\n'+color.END)
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optional_arg_group.add_argument('--hook_fasta','-f', help='Path to the fasta file of the Hook DB in the Databases/db_OG folder')
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if len(sys.argv[1:]) == 0:
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print (parser.description)
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print ('\n')
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sys.exit()
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args = parser.parse_args()
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args.id_print = str(int(float(args.identity)*100))
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args.all_output_folder = '/'.join(args.file_prefix.split('/')[:-1]) + '/'
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args.file_prefix = args.file_prefix.split('/')[-1]
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args.file_listNTD = [args.all_output_folder + i for i in os.listdir(args.all_output_folder) if args.file_prefix in i and i.endswith('NTD.ORF.fasta')]
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args.file_listAA = [args.all_output_folder + i for i in os.listdir(args.all_output_folder) if args.file_prefix in i and i.endswith('AA.ORF.fasta')]
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args.file_listTSV = [args.all_output_folder + i for i in os.listdir(args.all_output_folder) if args.file_prefix in i and i.endswith('results.tsv')]
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quit_eval = return_more_info(args)
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if quit_eval > 0:
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print ('\n')
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sys.exit()
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return args
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###########################################################################################
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###------------------------------- Script Usage Message --------------------------------###
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###########################################################################################
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def usage_msg():
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return (color.BOLD+color.RED+'\n\nExample usage:'+color.CYAN+' python 6_RemovePartials.py'\
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' --file_prefix Op_me_Xxma'+color.END)
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##########################################################################################
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###-------- Storage for LARGE (Annoying) Print Statements for Flagged Options ---------###
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##########################################################################################
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def return_more_info(args):
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valid_arg = 0
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author = (color.BOLD+color.ORANGE+'\n\n\tQuestions/Comments? Email Xyrus (author) at'\
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' maurerax@gmail.com\n\n'+color.END)
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if args.author == True:
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print (author)
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valid_arg += 1
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if args.file_listNTD == []:
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print (color.BOLD+'\n\nNo '+color.ORANGE+'Nucleotide Fasta Files'+color.END+color.BOLD+\
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' found!\n\nCheck that your'+color.GREEN+' File Prefix'+color.END+color.BOLD+\
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'is present in\nthe files of interest')
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valid_arg += 1
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if args.file_listAA == []:
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print (color.BOLD+'\n\nNo '+color.ORANGE+'Protein Fasta Files'+color.END+color.BOLD+\
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' found!\n\nCheck that your'+color.GREEN+' File Prefix'+color.END+color.BOLD+\
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'is present in\nthe files of interest')
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valid_arg += 1
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if args.file_listTSV == []:
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print (color.BOLD+'\n\nNo '+color.ORANGE+'OG-Assignment Spreadsheets'+color.END+color.BOLD+\
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' found!\n\nCheck that your'+color.GREEN+' File Prefix'+color.END+color.BOLD+\
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'is present in\nthe files of interest')
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valid_arg += 1
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if len(args.file_listNTD) == len(args.file_listAA) == len(args.file_listTSV):
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pass
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else:
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print (color.BOLD+color.RED+'\n\nError:'+color.END+color.BOLD+' Unequal numbers of'\
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' input files found.\n\nDouble-check that there are:'+color.CYAN+'SINGLE'+color.END\
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+color.BOLD+' Nucleotide and Protein fasta files and OG-assignment Spreadsheet for'\
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' each transcriptome\n\nThen try once again.'+color.END)
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valid_arg += 1
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return valid_arg
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##########################################################################################
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###------------------------- Creates Folders For Storing Data -------------------------###
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##########################################################################################
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def prep_folders(args):
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if os.path.isdir(args.all_output_folder + 'ToRename') != True:
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os.system('mkdir ' + args.all_output_folder + 'ToRename')
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if os.path.isdir(args.all_output_folder + args.file_prefix) != True:
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os.system('mkdir ' + args.all_output_folder + args.file_prefix)
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if os.path.isdir(args.all_output_folder + args.file_prefix + '/Original') != True:
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os.system('mkdir ' + args.all_output_folder + args.file_prefix + '/Original')
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os.system('mkdir ' + args.all_output_folder + args.file_prefix + '/Original/SpreadSheets')
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os.system('mkdir ' + args.all_output_folder + args.file_prefix + '/Original/Concatenated/')
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os.system('mkdir ' + args.all_output_folder + args.file_prefix + '/Original/Concatenated/SpreadSheets')
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if os.path.isdir(args.all_output_folder + args.file_prefix + '/Processed') != True:
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os.system('mkdir ' + args.all_output_folder + args.file_prefix + '/Processed')
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os.system('mkdir ' + args.all_output_folder + args.file_prefix + '/Processed/SpreadSheets')
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##########################################################################################
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###-------------------- Merges Fasta Files When Replicates Present --------------------###
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##########################################################################################
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def merge_fasta_replicates(args, type):
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cat_folder = args.all_output_folder + args.file_prefix + '/Original/Concatenated/'
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count = 0
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fasta_to_merge = []
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if type == 'NTD':
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fasta_list = args.file_listNTD
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else:
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fasta_list = args.file_listAA
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for file in fasta_list:
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fasta_to_merge += ['>'+str(count)+'_'+i for i in open(file).read().split('>') if i != '']
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count += 1
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with open(cat_folder+args.file_prefix+'.'+type+'.Concatenated.fasta','w+') as w:
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w.write(''.join(fasta_to_merge))
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time.sleep(.75)
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##########################################################################################
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###--------------------- Merges TSV Files When Replicates Present ---------------------###
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##########################################################################################
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def merge_tsv_replicates(args):
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cat_folder = args.all_output_folder + args.file_prefix + '/Original/Concatenated/SpreadSheets/'
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count = 0
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tsv_to_merge = []
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for file in args.file_listTSV:
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tsv_to_merge += [str(count)+'_'+i for i in open(file).read().split('\n') if i != '']
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count += 1
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with open(cat_folder+args.file_prefix+'_Concatenated.allOGCleanresults.tsv','w+') as w:
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w.write('\n'.join(tsv_to_merge))
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time.sleep(.75)
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##########################################################################################
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###------------------ Calls on the other Merge Functions by Data Type -----------------###
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##########################################################################################
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def merge_relevant_data(args):
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print (color.BOLD+'\n\nMerging Transcriptome data together.'+color.END)
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merge_fasta_replicates(args, 'NTD')
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merge_fasta_replicates(args, 'AA')
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merge_tsv_replicates(args)
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##########################################################################################
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###------------------- Uses Diamond to perform Self-vs-Self "BLAST" -------------------###
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##########################################################################################
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def self_blast(args, diamond_path):
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cat_folder = args.all_output_folder + args.file_prefix + '/Original/Concatenated/'
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diamond_makedb = diamond_path + ' makedb --in ' + cat_folder + args.file_prefix + '.AA.Concatenated.fasta -d ' + cat_folder + args.file_prefix + '.AA.Concatenated'
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diamond_self = diamond_path + ' blastp -q ' + cat_folder + args.file_prefix + '.AA.Concatenated.fasta -d ' + cat_folder + args.file_prefix + '.AA.Concatenated --strand plus --no-self-hits --id '+str(args.identity)+\
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' --query-cover 0.7 --evalue 1e-15 --threads 60 --outfmt 6 -o ' + cat_folder + 'SpreadSheets/' + args.file_prefix + '.Concatenated.Self.'+str(args.id_print)+'ID.tsv'
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print (color.BOLD+'\n\nBinning ALL '+color.ORANGE+'Nucleotide ORFs'+color.END+color.BOLD\
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+' for '+color.GREEN+args.file_prefix+color.END+color.BOLD+' at '+args.id_print\
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+'% identity.\n\n'+color.END)
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os.system(diamond_makedb)
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os.system(diamond_self)
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return cat_folder+'SpreadSheets/'+args.file_prefix+'.Concatenated.Self.'+str(args.id_print)+'ID.tsv'
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##########################################################################################
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###------------------- Uses USearch to perform Self-vs-Self "BLAST" -------------------###
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##########################################################################################
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def check_Self_vs_Self(tsv_file):
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evaluation = ''
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tsv_in = [i for i in open(tsv_file).read().split('\n') if i != '']
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if len(tsv_in) == 0:
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evaluation = 'empty'
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with open(tsv_file,'w+') as w:
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w.write('No Self-vs-Self hits were found')
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else:
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evaluation = 'continue'
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return evaluation
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##########################################################################################
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###-------------------- Removes Nearly Identical ORFs from Data Set -------------------###
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##########################################################################################
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def filter_NTD_data(args, OGLenDB):
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cat_folder = args.all_output_folder + args.file_prefix + '/Original/Concatenated/'
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proc_folder = args.all_output_folder + args.file_prefix + '/Processed/'
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##########################################
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## Set-up Useful Lists and Dictionaries ##
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##########################################
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nuc_Above98_hit = {}
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seqs_to_toss = []
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prepped_NTD = []
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prepped_AA = []
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nuc_tsv_100 = 0
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orf_lens = { rec.id : len(str(rec.seq)) for file in args.file_listNTD for rec in SeqIO.parse(file, 'fasta') }
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replicates = ''
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if len(args.file_listNTD) > 1:
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replicates = 'yes'
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else:
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replicates = 'nope'
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print (color.BOLD+'\n\nRemoving Partial '+color.PURPLE+'ORFs'+color.END+color.BOLD+\
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' with >'+args.id_print+'% Nucleotide Identity over >70% of\ntheir length when '\
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'compared to more complete '+color.PURPLE+'ORFs '+color.END+color.BOLD+'from: '\
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+color.CYAN+args.file_prefix+'\n\n'+color.END)
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#####################################################################
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## Self-v-self BLAST Output Parsing - first checks for Seq-length! ##
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#####################################################################
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nuc_tsv_raw = [i.rstrip('\n') for i in open(cat_folder+'SpreadSheets/'+args.file_prefix\
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+'.Concatenated.Self.'+str(args.id_print)+'ID.tsv').readlines() if i != '\n']
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too_long = 0
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for line in nuc_tsv_raw:
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og_number = re.split('OG.{1}_', line)[-1][:6]
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og_prefix = line.split(og_number)[0][-4:]
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og = og_prefix + og_number
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if og in OGLenDB.keys():
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if orf_lens['_'.join(line.split('\t')[1].split('_')[1:])] > 4.5*OGLenDB[og] or orf_lens['_'.join(line.split('\t')[1].split('_')[1:])] < 1.5*OGLenDB[og]:
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seqs_to_toss.append(line.split('\t')[1])
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too_long += 1
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nuc_tsv = [line for line in nuc_tsv_raw if line.split('\t')[1] not in seqs_to_toss]
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if len(nuc_tsv) > 0:
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if 'Cov' in nuc_tsv[0].split('\t')[0].split('_')[-3]:
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nuc_tsv.sort(key=lambda x: (-int(x.split('\t')[1].split('Len')[-1].split('_')[0]),-int(x.split('\t')[1].split('Cov')[-1].split('_')[0])))
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else:
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nuc_tsv.sort(key=lambda x: -int(x.split('\t')[1].split('Len')[-1].split('_')[0]))
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for line in nuc_tsv:
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if line.split('\t')[1] not in seqs_to_toss:
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nuc_Above98_hit.setdefault(line.split('\t')[1],[]).append(line.split('\t')[0])
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seqs_to_toss.append(line.split('\t')[0])
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if line.split('\t')[2] == '100.0':
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nuc_tsv_100 += 1
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seqs_to_toss = list(set(seqs_to_toss))
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inFasta_NTD_rawLen = [i for i in SeqIO.parse(cat_folder+args.file_prefix+'.NTD.Concatenated.fasta', 'fasta') if i.description]
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inFasta_NTD = [i for i in inFasta_NTD_rawLen if i.description not in seqs_to_toss]
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inFasta_AA = [i for i in SeqIO.parse(cat_folder+args.file_prefix+'.AA.Concatenated.fasta','fasta') if i.description not in seqs_to_toss]
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if replicates != '':
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for i in inFasta_NTD:
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if i.description not in nuc_Above98_hit.keys():
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prepped_NTD.append('>'+'_'.join(i.description.split('_')[1:])+'_Trans1\n'+str(i.seq))
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else:
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Rep_Num = str(len(set([i.description.split('_')[0]]+[j.split('_')[0] for j in nuc_Above98_hit[i.description]])))
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prepped_NTD.append('>'+'_'.join(i.description.split('_')[1:])+'_Trans'+Rep_Num+'\n'+str(i.seq))
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for i in inFasta_AA:
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if i.description not in nuc_Above98_hit.keys():
|
||||
prepped_AA.append('>'+'_'.join(i.description.split('_')[1:])+'_Trans1\n'+str(i.seq).replace('*','X'))
|
||||
else:
|
||||
Rep_Num = str(len(set([i.description.split('_')[0]]+[j.split('_')[0] for j in nuc_Above98_hit[i.description]])))
|
||||
prepped_AA.append('>'+'_'.join(i.description.split('_')[1:])+'_Trans'+Rep_Num+'\n'+str(i.seq).replace('*','X'))
|
||||
else:
|
||||
for i in inFasta_NTD:
|
||||
if i.description not in nuc_Above98_hit.keys():
|
||||
prepped_NTD.append('>'+i.description+'\n'+str(i.seq))
|
||||
else:
|
||||
prepped_NTD.append('>'+i.description+'\n'+str(i.seq))
|
||||
for i in inFasta_AA:
|
||||
if i.description not in nuc_Above98_hit.keys():
|
||||
prepped_AA.append('>'+i.description+'\n'+str(i.seq).replace('*','X'))
|
||||
else:
|
||||
prepped_AA.append('>'+i.description+'\n'+str(i.seq).replace('*','X'))
|
||||
|
||||
with open(args.all_output_folder + args.file_prefix + '/'+args.file_prefix+'_SeqPairsAbove98.txt','w+') as w:
|
||||
for k, v in nuc_Above98_hit.items():
|
||||
w.write(k+'\t'+'\t'.join(v)+'\n')
|
||||
|
||||
############################################################################################
|
||||
## Check for abnormally short and long sequences for the taxon for every Gene Family (OG) ##
|
||||
## ##
|
||||
## IMPORTANT: As of September 2023, ACL and LAK think that the following filter, which ##
|
||||
## filters ORFs by length relative to the length of other ORFs from the taxon, may be ##
|
||||
## worth revising/removing in the next version of PhyloToL Part 1. ##
|
||||
## ##
|
||||
############################################################################################
|
||||
|
||||
print (color.BOLD+'Removing Abnormally Short (30% length) OR Long (300% length)'\
|
||||
+color.PURPLE+' ORFs'+color.END+color.BOLD+'\ncompared to typical '+color.ORANGE+'Gene '\
|
||||
'Family '+color.END+color.BOLD+'member length for: '+color.CYAN+args.file_prefix+'\n\n'+color.END)
|
||||
|
||||
self_OGLenDB={} ##
|
||||
seqs_to_toss = [] ##
|
||||
too_long = too_short = 0 ##
|
||||
|
||||
for i in prepped_NTD:
|
||||
og_number = re.split('OG.{1}_', i.split('\n')[0])[-1][:6]
|
||||
og_prefix = i.split('\n')[0].split(og_number)[0][-4:]
|
||||
og = og_prefix + og_number
|
||||
|
||||
self_OGLenDB.setdefault(og,[]).append(len(i.split('\n')[-1]))
|
||||
|
||||
good_NTD_names = []
|
||||
for i in prepped_NTD:
|
||||
og_number = re.split('OG.{1}_', i.split('\n')[0])[-1][:6]
|
||||
og_prefix = i.split('\n')[0].split(og_number)[0][-4:]
|
||||
og = og_prefix + og_number
|
||||
|
||||
if (0.3*sum(self_OGLenDB[og])/float(len(self_OGLenDB[og]))) <= len(i.split('\n')[-1]) <= (3*sum(self_OGLenDB[og])/float(len(self_OGLenDB[og]))):
|
||||
good_NTD_names.append(i.split('\n')[0])
|
||||
|
||||
good_NTD_seqs = [i for i in prepped_NTD if i.split('\n')[0] in good_NTD_names]
|
||||
good_AA_seqs = [i for i in prepped_AA if i.split('\n')[0] in good_NTD_names]
|
||||
|
||||
too_short = len(prepped_NTD) - len(good_NTD_names)
|
||||
|
||||
####################################################################
|
||||
## Finalized Outputs are Summarized and Written Out to New Fastas ##
|
||||
####################################################################
|
||||
|
||||
print (color.BOLD+'There were '+color.CYAN+str(len(inFasta_NTD_rawLen))+color.END+color.BOLD\
|
||||
+color.PURPLE+' ORFs '+color.END+color.BOLD+'originally, with '+color.ORANGE+\
|
||||
str(nuc_tsv_100)+color.END+color.BOLD+' Partial '+color.PURPLE+'ORFs'+color.END+\
|
||||
color.BOLD+' that\nwere '+color.RED+'100% Identical'+color.END+color.BOLD+' to larger'\
|
||||
+color.PURPLE+' ORFs.\n\n'+color.END)
|
||||
|
||||
print(color.BOLD+'Of the '+color.CYAN+str(len(inFasta_NTD_rawLen))+color.END+color.BOLD\
|
||||
+' original'+color.PURPLE+' ORFs'+color.END+color.BOLD+', '+color.ORANGE+str(len(set(seqs_to_toss)))+\
|
||||
color.END+color.BOLD+' are '+color.PURPLE+'Partial ORFs '+color.END+color.BOLD+'(e.g. '+\
|
||||
color.RED+'> '+args.id_print+'%'+color.END+color.BOLD+'\nNUCLEOTIDE identity) to larger'\
|
||||
+color.PURPLE+' ORFs'+color.END+color.BOLD+' with '+color.ORANGE+str(too_short+too_long)\
|
||||
+color.END+color.BOLD+' additional'+color.PURPLE+' ORFs\n'+color.END+color.BOLD+'that were either '+\
|
||||
color.RED+'TOO LONG or SHORT.\n\n'+color.END)
|
||||
|
||||
print (color.BOLD+'Overall, there are '+color.GREEN+str(len(good_NTD_seqs))+' Unique ORFs'\
|
||||
+color.END+color.BOLD+' for '+color.CYAN+args.file_prefix+'\n'+color.END)
|
||||
|
||||
with open(proc_folder+args.file_prefix+'_Filtered.Final.NTD.ORF.fasta','w+') as w:
|
||||
for i in good_NTD_seqs:
|
||||
w.write(i+'\n')
|
||||
with open(proc_folder+args.file_prefix+'_Filtered.Final.AA.ORF.fasta','w+') as x:
|
||||
for i in good_AA_seqs:
|
||||
x.write(i+'\n')
|
||||
|
||||
return good_NTD_names
|
||||
|
||||
|
||||
##########################################################################################
|
||||
###------------------- Updates SpreadSheet with Update Sequence Names -----------------###
|
||||
##########################################################################################
|
||||
|
||||
def update_tsv(args, NTD_list_names):
|
||||
|
||||
cat_folder = args.all_output_folder + args.file_prefix + '/Original/Concatenated/SpreadSheets/'
|
||||
proc_folder = args.all_output_folder + args.file_prefix + '/Processed/'
|
||||
|
||||
inTSV = {'_'.join(i.split('\t')[0].split('_')[1:]):'\t'.join(i.split('\t')[1:]) for i in open(cat_folder+\
|
||||
args.file_prefix+'_Concatenated.allOGCleanresults.tsv').readlines() if i != '\n'}
|
||||
|
||||
Updated_inTSV = [i.strip('>')+'\t'+inTSV[i.split('_Trans')[0].strip('>')] for i in NTD_list_names]
|
||||
|
||||
with open(proc_folder+'/SpreadSheets/'+args.file_prefix+'_Filtered.Final.allOGCleanresults.tsv','w+') as w:
|
||||
for line in Updated_inTSV:
|
||||
w.write(line+'\n')
|
||||
|
||||
|
||||
############################################################################################
|
||||
## ##
|
||||
## IMPORTANT: As of September 2023, ACL and LAK think that the following filter, which ##
|
||||
## filters ORFs by length that do NOT hit other ORFs from the taxon by self-BLAST, may be ##
|
||||
## worth revising/removing in the next version of PhyloToL Part 1. ##
|
||||
## ##
|
||||
############################################################################################
|
||||
|
||||
|
||||
def no_partials_present(args, OGLenDB):
|
||||
|
||||
print (color.BOLD+color.RED+'\n\nWarning:'+color.END+color.BOLD+' No partial sequences'\
|
||||
' were found with > '+str(args.id_print)+'% nucleotide identity.\n\nThe data will still be '\
|
||||
'checked for ORFs that are unexpectedly '+color.ORANGE+'Short'+color.END+color.BOLD+' or'\
|
||||
+color.ORANGE+' Long.\n\n'+color.END)
|
||||
|
||||
cat_folder = args.all_output_folder + args.file_prefix + '/Original/Concatenated/'
|
||||
proc_folder = args.all_output_folder + args.file_prefix + '/Processed/'
|
||||
|
||||
NTD_file = cat_folder+args.file_prefix+'.NTD.Concatenated.fasta'
|
||||
AA_file = cat_folder+args.file_prefix+'.AA.Concatenated.fasta'
|
||||
TSV_file = cat_folder+'/SpreadSheets/'+args.file_prefix+'_Concatenated.allOGCleanresults.tsv'
|
||||
|
||||
self_OGLenDB = {}
|
||||
seqs_to_toss = []
|
||||
too_long, too_short = 0, 0
|
||||
|
||||
## Small changes in this section for Auden (ought to work now)
|
||||
## Lists -> Dictionaries and some data curation steps
|
||||
|
||||
inFasta = {i.description:str(i.seq) for i in SeqIO.parse(NTD_file,'fasta')}
|
||||
|
||||
for k,v in inFasta.items():
|
||||
og_number = re.split('OG.{1}_', k)[-1][:6]
|
||||
og_prefix = k.split(og_number)[0][-4:]
|
||||
og = og_prefix + og_number
|
||||
|
||||
if len(v) >= 4.5*OGLenDB[og]:
|
||||
seqs_to_toss.append(k)
|
||||
too_long+= 1
|
||||
|
||||
prepped_NTD = [i for i in inFasta if i not in seqs_to_toss]
|
||||
|
||||
print (color.BOLD+'Removing Abnormally Short (30% length) OR Long (300% length)'\
|
||||
+color.PURPLE+' ORFs'+color.END+color.BOLD+'\ncompared to typical '+color.ORANGE+'Gene '\
|
||||
'Family '+color.END+color.BOLD+'member length for: '+color.CYAN+args.file_prefix+'\n\n'+color.END)
|
||||
|
||||
## toss those sequences from the sequence dictonary (less headache)
|
||||
for crap_seq in seqs_to_toss:
|
||||
del inFasta[crap_seq]
|
||||
|
||||
for k, v in inFasta.items():
|
||||
og_number = re.split('OG.{1}_', k)[-1][:6]
|
||||
og_prefix = k.split(og_number)[0][-4:]
|
||||
og = og_prefix + og_number
|
||||
|
||||
self_OGLenDB.setdefault(og,[]).append(len(v))
|
||||
|
||||
self_OGLenDB_Final = {k:sum(v)/len(v) for k, v in self_OGLenDB.items()}
|
||||
|
||||
good_NTD_data = { }
|
||||
for k, v in inFasta.items():
|
||||
og_number = re.split('OG.{1}_', k)[-1][:6]
|
||||
og_prefix = k.split(og_number)[0][-4:]
|
||||
og = og_prefix + og_number
|
||||
|
||||
if 0.3*self_OGLenDB_Final[og] <= len(v) <= 3*self_OGLenDB_Final[og]:
|
||||
good_NTD_data.update({ k : v })
|
||||
|
||||
good_AA_data = {i.description:str(i.seq) for i in SeqIO.parse(AA_file,'fasta') if i.description in good_NTD_data.keys()}
|
||||
|
||||
good_TSV_data = [i for i in open(cat_folder+'/SpreadSheets/'+args.file_prefix+'_Concatenated.allOGCleanresults.tsv')\
|
||||
.read().split('\n') if i != '' and i.split('\t')[0] in good_NTD_data.keys()]
|
||||
|
||||
renamed_TSV_data = [i.split('\t')[0]+'\t'+'\t'.join(i.split('\t')[1:]) for i in good_TSV_data]
|
||||
|
||||
with open(proc_folder+args.file_prefix+'_Filtered.Final.NTD.ORF.fasta','w+') as w:
|
||||
for k,v in good_NTD_data.items():
|
||||
w.write('>'+k+'\n'+v+'\n')
|
||||
|
||||
with open(proc_folder+args.file_prefix+'_Filtered.Final.AA.ORF.fasta','w+') as x:
|
||||
for k, v in good_AA_data.items():
|
||||
x.write('>'+k+'\n'+v+'\n')
|
||||
|
||||
with open(proc_folder+'/SpreadSheets/'+args.file_prefix+'_Filtered.Final.allOGCleanresults.tsv','w+') as y:
|
||||
y.write('\n'.join(renamed_TSV_data))
|
||||
|
||||
|
||||
############################################################################################
|
||||
## ##
|
||||
## IMPORTANT: The following function was added in September 2023 by ACL and LAK to ##
|
||||
## replace the pre-Guidance filter that removes sequences <50% and >150% the average ##
|
||||
## length of the OG in the Hook. It may be worth revisiting in the next version of ##
|
||||
## PhyloToL part 1. ##
|
||||
## ##
|
||||
############################################################################################
|
||||
|
||||
|
||||
def filter_all_by_hook(args, OGLenDB):
|
||||
|
||||
proc_folder = args.all_output_folder + args.file_prefix + '/Processed/'
|
||||
|
||||
remaining_NTD_seqs = { rec.id : str(rec.seq) for rec in SeqIO.parse(proc_folder+args.file_prefix+'_Filtered.Final.NTD.ORF.fasta', 'fasta') }
|
||||
remaining_AA_seqs = { rec.id : str(rec.seq) for rec in SeqIO.parse(proc_folder+args.file_prefix+'_Filtered.Final.AA.ORF.fasta', 'fasta') }
|
||||
|
||||
short_from_translation = []
|
||||
if os.path.isfile('UnexpexctedShortStuffBlameXyrus.txt'):
|
||||
for line in open('UnexpexctedShortStuffBlameXyrus.txt'):
|
||||
short_from_translation.append(line.strip())
|
||||
|
||||
good_NTD_seqs = []; good_AA_seqs = []
|
||||
for rec in remaining_NTD_seqs:
|
||||
og_number = re.split('OG.{1}_', rec)[-1][:6]
|
||||
og_prefix = rec.split(og_number)[0][-4:]
|
||||
og = og_prefix + og_number
|
||||
|
||||
if len(remaining_AA_seqs[rec]) <= 1.5*OGLenDB[og] and len(remaining_AA_seqs[rec]) >= 0.33*OGLenDB[og] and rec.split('_Trans')[0] not in short_from_translation:
|
||||
good_NTD_seqs.append((rec, remaining_NTD_seqs[rec]))
|
||||
good_AA_seqs.append((rec, remaining_AA_seqs[rec]))
|
||||
|
||||
with open(proc_folder+args.file_prefix+'_Filtered.Final.NTD.ORF.fasta','w') as w:
|
||||
for rec in good_NTD_seqs:
|
||||
w.write('>' + rec[0] + '\n' + rec[1] + '\n\n')
|
||||
|
||||
with open(proc_folder+args.file_prefix+'_Filtered.Final.AA.ORF.fasta','w') as x:
|
||||
for rec in good_AA_seqs:
|
||||
x.write('>' + rec[0] + '\n' + rec[1] + '\n\n')
|
||||
|
||||
|
||||
##########################################################################################
|
||||
###--------------------- Cleans up the Folder and Moves Final Files -------------------###
|
||||
##########################################################################################
|
||||
|
||||
def clean_up(args):
|
||||
|
||||
for i in args.file_listNTD:
|
||||
os.system('mv ' + i + ' ' + args.all_output_folder + args.file_prefix + '/Original/')
|
||||
os.system('mv ' + i.replace('NTD.ORF.fasta','AA.ORF.fasta') + ' ' + args.all_output_folder + args.file_prefix + '/Original/')
|
||||
os.system('mv ' + i.split('named')[0]+'named*allOGCleanresults.tsv ' + args.all_output_folder + args.file_prefix + '/Original/SpreadSheets/')
|
||||
|
||||
|
||||
###########################################################################################
|
||||
###-------------------------------- Next Script Message --------------------------------###
|
||||
###########################################################################################
|
||||
|
||||
def next_script():
|
||||
|
||||
print(color.BOLD+'\nNext Script is: '+color.GREEN+'6b_update_cov_post_removepartials.py\n\n'+color.END)
|
||||
|
||||
|
||||
##########################################################################################
|
||||
###------------------- Checks Command Line Arguments and Calls Steps ------------------###
|
||||
##########################################################################################
|
||||
|
||||
def main():
|
||||
|
||||
diamond_path = check_diamond_path()
|
||||
|
||||
args = check_args()
|
||||
|
||||
prep_folders(args)
|
||||
|
||||
merge_relevant_data(args)
|
||||
|
||||
self_BLAST_out = self_blast(args, diamond_path)
|
||||
|
||||
evaluation = check_Self_vs_Self(self_BLAST_out)
|
||||
|
||||
OGLenDB = {}
|
||||
for rec in SeqIO.parse(args.hook_fasta, 'fasta'):
|
||||
if rec.id[-10:] not in OGLenDB:
|
||||
OGLenDB.update({ rec.id[-10:] : [] })
|
||||
|
||||
OGLenDB[rec.id[-10:]].append(len(str(rec.seq)))
|
||||
|
||||
for og in OGLenDB:
|
||||
OGLenDB[og] = mean(OGLenDB[og])
|
||||
|
||||
if evaluation != 'empty':
|
||||
NTD_names = filter_NTD_data(args, OGLenDB)
|
||||
update_tsv(args, NTD_names)
|
||||
else:
|
||||
no_partials_present(args, OGLenDB)
|
||||
|
||||
filter_all_by_hook(args, OGLenDB)
|
||||
|
||||
clean_up(args)
|
||||
|
||||
next_script()
|
||||
|
||||
main()
|
||||
Loading…
x
Reference in New Issue
Block a user