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author | Lei Yan | 2016-06-16 18:21:01 +0000 |
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committer | Lei Yan | 2016-06-16 18:21:01 +0000 |
commit | 4fec0e6fc0772785a30451d417082bc189f2f6dd (patch) | |
tree | 6548c2d088d5a80561e23df076456caaeda195c7 /wqflask/utility/genofile_parser.py | |
parent | e55f38a72d47fbdf5f652a08e8da1db78f1dcdb5 (diff) | |
parent | d90dc3748557d1d6fbaa59f71fe676b8a7c393ca (diff) | |
download | genenetwork2-4fec0e6fc0772785a30451d417082bc189f2f6dd.tar.gz |
Merge /home/gn2/gene
Diffstat (limited to 'wqflask/utility/genofile_parser.py')
-rw-r--r-- | wqflask/utility/genofile_parser.py | 100 |
1 files changed, 100 insertions, 0 deletions
diff --git a/wqflask/utility/genofile_parser.py b/wqflask/utility/genofile_parser.py new file mode 100644 index 00000000..67b84dc9 --- /dev/null +++ b/wqflask/utility/genofile_parser.py @@ -0,0 +1,100 @@ +# CTL analysis for GN2 +# Author / Maintainer: Danny Arends <Danny.Arends@gmail.com> + +from __future__ import print_function, division, absolute_import +import sys +import os +import glob +import traceback +import gzip + + +import simplejson as json + +from pprint import pformat as pf + +class Marker(object): + def __init__(self): + self.name = None + self.chr = None + self.cM = None + self.Mb = None + self.genotypes = [] + + +class ConvertGenoFile(object): + + def __init__(self, input_file): + self.mb_exists = False + self.cm_exists = False + self.markers = [] + + self.latest_row_pos = None + self.latest_col_pos = None + + self.latest_row_value = None + self.latest_col_value = None + self.input_fh = open(input_file) + print("!!!!!!!!!!!!!!!!PARSER!!!!!!!!!!!!!!!!!!") + self.haplotype_notation = { + '@mat': "1", + '@pat': "2", + '@het': "-999", + '@unk': "-999" + } + self.configurations = {} + + def process_rows(self): + for self.latest_row_pos, row in enumerate(self.input_fh): + self.latest_row_value = row + # Take care of headers + if not row.strip(): + continue + if row.startswith('#'): + continue + if row.startswith('Chr'): + if 'Mb' in row.split(): + self.mb_exists = True + if 'cM' in row.split(): + self.cm_exists = True + skip = 2 + self.cm_exists + self.mb_exists + self.individuals = row.split()[skip:] + continue + if row.startswith('@'): + key, _separater, value = row.partition(':') + key = key.strip() + value = value.strip() + if key in self.haplotype_notation: + self.configurations[value] = self.haplotype_notation[key] + continue + if not len(self.configurations): + raise EmptyConfigurations + yield row + + def process_csv(self): + for row_count, row in enumerate(self.process_rows()): + row_items = row.split("\t") + + this_marker = Marker() + this_marker.name = row_items[1] + this_marker.chr = row_items[0] + if self.cm_exists and self.mb_exists: + this_marker.cM = row_items[2] + this_marker.Mb = row_items[3] + genotypes = row_items[4:] + elif self.cm_exists: + this_marker.cM = row_items[2] + genotypes = row_items[3:] + elif self.mb_exists: + this_marker.Mb = row_items[2] + genotypes = row_items[3:] + else: + genotypes = row_items[2:] + for item_count, genotype in enumerate(genotypes): + if genotype.upper().strip() in self.configurations: + this_marker.genotypes.append(self.configurations[genotype.upper().strip()]) + else: + print("WARNING:", genotype.upper()) + this_marker.genotypes.append("NA") + self.markers.append(this_marker.__dict__) + |