annotate multi_glimmer.py @ 0:0ddb5ee32ff6 draft default tip

planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
author rmarenco
date Thu, 18 Aug 2016 18:50:00 -0400
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0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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1 #!/usr/bin/python
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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2 # -*- coding: utf8 -*-
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4 import argparse
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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5 import os
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6 import subprocess
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7 import sys
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10 def main():
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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11 parser = argparse.ArgumentParser(description='Get a multi-fasta, the trained_dir and the output file as inputs, '
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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12 'to generate GlimmerHMM gene prediction over all contigs')
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14 parser.add_argument('--multi_fasta', help='Multi fasta file to run GlimmerHMM on', required=True)
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16 parser.add_argument('--trained_dir', help='Path to the GlimmerHMM trained_dir', required=True)
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18 parser.add_argument('--output', help='file to output the result into', required=True)
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20 args = parser.parse_args()
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22 multi_fasta = args.multi_fasta
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23 trained_dir = args.trained_dir
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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24 # TODO: Temporary fix for the issue with config.file in human/. Next: GC Content to select the appropriate folder
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25 if trained_dir.split('/')[-1] == "human":
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26 trained_dir = os.path.join(trained_dir, "Train0-43")
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28 output_file = args.output
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29 temp_contig = "temp_contig"
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31 def exec_glimmer(contig_file, first_time=False):
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32 p = subprocess.Popen(["glimmerhmm", contig_file, trained_dir, "-g"],
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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33 stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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34 output, errors = p.communicate()
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36 p.wait()
0ddb5ee32ff6 planemo upload for repository https://github.com/remimarenco/multi_fasta_glimmerhmm.git commit 28bd73b26b50165eded1d9ba995979acdf005ad1-dirty
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37 # Process the error if != "Done"
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38 if not errors or (errors.split()[0] != "Done"):
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39 raise Exception("Error in glimmer: {0}".format(errors))
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40 else:
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41 sys.stdout.write(errors)
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42 # If not first time, we need to remove the first comments
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43 if not first_time:
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44 output = "\n".join(output.split("\n")[1:])
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45
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46 return output
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47
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48 with open(output_file, 'w+') as o:
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49 with open(multi_fasta, 'r') as mf:
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50 is_first_time = True
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51 for i, line in enumerate(mf):
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52 if line[0] == '>':
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53 # If it is the first time we finish to read a contig, we let glimmer add the full comments
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54 # and write into the output the result
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55 if is_first_time is True and i != 0:
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56 o.write(exec_glimmer(temp_contig, first_time=is_first_time))
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57 is_first_time = False
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58 # Else we call glimmer and say this is not the first time (so remove the first comment)
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59 # and dump into the output file the result
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60 elif i > 0:
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61 o.write(exec_glimmer(temp_contig))
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62
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63 # Because we are on an indication of a beginning of a sequence, we need to create an empty file
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64 # to dump the line into
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65 with open(temp_contig, 'w+') as tc:
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66 tc.write(line)
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67 else:
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68 # We are in the sequence of a contig, so we append the line in the file
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69 with open(temp_contig, 'a+') as tc:
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70 tc.write(line)
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71 # The file is terminate, we did read another contig so we need to save this last one
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72 o.write(exec_glimmer(temp_contig, first_time=is_first_time))
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73
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74 if __name__ == "__main__":
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75 main()