pydigree.sgs package¶
Submodules¶
pydigree.sgs.sgs module¶
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class
pydigree.sgs.sgs.SGS(ind1, ind2, segments=None)¶ Bases:
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append(value)¶
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extend(value)¶
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ibd_state(locus, location_type='index')¶ locus: a 2-tuple in the form (chromosome, position) location_type: the type of location units specified. Valid entries are ‘index’ (the index of the markers), and ‘physical’ (positions in bp)
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class
pydigree.sgs.sgs.SGSAnalysis(pairs=None)¶ Bases:
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chromwide_ibd(chromidx, size=None, onlywithin=False, onlybetween=False)¶
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static
direct_to_disk(filename, pop, seed_size=500, min_length=1, size_unit='mb', min_density=100, maxmiss=0.25, onlywithin=False, njobs=1)¶
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ibd_matrix(individuals, locus, location_type='index', onlywithin=False)¶ Creates an IBD matrix for a set of individuals at a locus
Parameters: - individuals (iterable) – individuals to form the matrix for
- locus (2-tuple) – location to form the matrix on
- location_type – the type of location units specified. Valid entries are ‘index’ (the index of the markers), ‘physical’ (the positions in bp), and ‘genetic’ (location in cM)
Returns: IBD matrix
Return type: scipy.sparse.lil_matrix
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ibd_state(ind1, ind2, locus, location_type='index', onlywithin=False)¶ Gets the IBD state between two individuals at a locus
locus: a 2-tuple in the form (chromosome, position) location_type: the type of location units specified. Valid entries are ‘index’ (the index of the markers), and ‘physical’ (the positions in bp)
Returns 0 in the case of ind1 and ind2 not having any identified segments (or not being in the analysis at all)
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individuals¶ Returns a set of all individuals present in the analysis
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merge(other)¶ Merge two SGSAnalysis objects
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segments¶ Returns an iterable of all the segments in the Analysis
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update_segment_references(pedigrees)¶ Replace individual labels in the Segment objects of SGSAnalyses read from text with references to the actual individual object
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class
pydigree.sgs.sgs.Segment(ind1, ind2, chromosome, startidx, stopidx, physical_location=None)¶ Bases:
object-
chromosome¶
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contains(locus, location_type='index')¶
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ind1¶
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ind2¶
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marker_labels¶
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missing¶
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missing_rate¶ The number of missing genotypes in the segment
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nmark¶ The number of markers in the segment
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physical_location¶
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physical_size¶ The size of the segmend in base pairs
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start¶
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stop¶
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to_germline()¶
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pydigree.sgs.sgs.filter_segments(chromosome, intervals, identical, min_length=1.0, min_density=100, size_unit='mb', maxmiss=0.25)¶ Perform quality control filtering on SGS results
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pydigree.sgs.sgs.intervals_to_array(intervals, nmark)¶
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pydigree.sgs.sgs.join_gaps(seq, max_gap=1)¶
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pydigree.sgs.sgs.make_intervals(ibdarray)¶
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pydigree.sgs.sgs.sgs_autozygous(ind, chromosome_idx, seed_size=500, min_length=1, size_unit='mb', min_density=100, maxmiss=0.25)¶
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pydigree.sgs.sgs.sgs_population(pop, seed_size=500, min_length=1, size_unit='mb', min_density=100, maxmiss=0.25, onlywithin=False, njobs=1)¶ Performs SGS between all individuals in a population or pedigree
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pydigree.sgs.sgs.sgs_unphased(ind1, ind2, chromosome_idx, seed_size=255, min_length=1, size_unit='mb', min_density=100, maxmiss=0.25, array=False)¶ Returns IBD states for each marker along a chromosome