Mercurial > repos > cpt > cpt_convert_glimmer

annotate all_fasta.loc.sample @ 8:e132a07229c4 draft

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planemo upload commit c2e2760ae56ed7d73f7ada10c105bf0e9bd80480
author cpt
date Sun, 23 Jul 2023 21:01:09 +0000
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e132a07229c4 planemo upload commit c2e2760ae56ed7d73f7ada10c105bf0e9bd80480
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1 #This file lists the locations and dbkeys of all the fasta files
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2 #under the "genome" directory (a directory that contains a directory
e132a07229c4 planemo upload commit c2e2760ae56ed7d73f7ada10c105bf0e9bd80480
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3 #for each build). The script extract_fasta.py will generate the file
e132a07229c4 planemo upload commit c2e2760ae56ed7d73f7ada10c105bf0e9bd80480
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4 #all_fasta.loc. This file has the format (white space characters are
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5 #TAB characters):
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6 #
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7 #<unique_build_id> <dbkey> <display_name> <file_path>
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8 #
e132a07229c4 planemo upload commit c2e2760ae56ed7d73f7ada10c105bf0e9bd80480
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9 #So, all_fasta.loc could look something like this:
e132a07229c4 planemo upload commit c2e2760ae56ed7d73f7ada10c105bf0e9bd80480
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10 #
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11 #apiMel3 apiMel3 Honeybee (Apis mellifera): apiMel3 /path/to/genome/apiMel3/apiMel3.fa
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12 #hg19canon hg19 Human (Homo sapiens): hg19 Canonical /path/to/genome/hg19/hg19canon.fa
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13 #hg19full hg19 Human (Homo sapiens): hg19 Full /path/to/genome/hg19/hg19full.fa
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14 #
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15 #Your all_fasta.loc file should contain an entry for each individual
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16 #fasta file. So there will be multiple fasta files for each build,
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17 #such as with hg19 above.
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18 #