The hic_binning module¶
This is a module contains scripts for generating compact, uppertriangle and full matrices of HiC interaction data.
Concepts¶
These functions rely on the HiC
class in conjunction with the Fend
and HiCData
classes.
Data can either be arranged in compact, complete, or flattened (rowmajor) uppertriangle arrays. Compact arrays are N x M, where N is the number of fends or bins, and M is the maximum distance between fends or bins. This is useful for working with sets of short interactions. Data can be raw, fendcorrected, distancedependence removed, or enrichment values. Arrays are 3dimensional with observed values in the first layer of d3, expected values in the second layer of d3. The exception to this is uppertriangle arrays, which are 2d, divinding observed and expected along the second axis.
API Documentation¶

hifive.hic_binning.
bin_cis_array
(data_array, data_mapping, binsize=10000, binbounds=None, start=None, stop=None, arraytype='full', returnmapping=False, **kwargs)¶ Create an array of format ‘arraytype’ and fill ‘binsize’ bins or bins defined by ‘binbounds’ with data provided in the array passed by ‘data_array’.
Parameters:  data_array (numpy array) – A 2d (upper) or 3d (compact) array containing data to be binned. Array format will be determined from the number of dimensions.
 data_mapping (numpy array) – An N x 4 2d integer array containing the start and stop coordinates, and start and stop fends for each of the N bin ranges in ‘data_array’.
 binsize (int.) – This is the coordinate width of each bin. If binbounds is not None, this value is ignored.
 binbounds (numpy array) – An array containing start and stop coordinates for a set of userdefined bins. Any bin from ‘data_array’ not falling in a bin is ignored.
 start (int.) – The coordinate at the beginning of the first bin of the binned data. If unspecified, ‘start’ will be the first multiple of ‘binsize’ below the first coordinate from ‘data_mapping’. If ‘binbounds’ is given, ‘start’ is ignored. Optional.
 stop (int.) – The coordinate at the end of the last bin of the binned data. If unspecified, ‘stop’ will be the first multiple of ‘binsize’ after the last coordinate from ‘data_mapping’. If needed, ‘stop’ is adjusted upward to create a complete last bin. If ‘binbounds’ is given, ‘stop’ is ignored. Optional.
 arraytype (str.) – This determines what shape of array data are returned in. Acceptable values are ‘compact’, ‘full’, and ‘upper’. ‘compact’ means data are arranged in a N x M x 2 array where N is the number of bins, M is the maximum number of steps between included bin pairs, and data are stored such that bin n,m contains the interaction values between n and n + m + 1. ‘full’ returns a square, symmetric array of size N x N x 2. ‘upper’ returns only the flattened upper triangle of a full array, excluding the diagonal of size (N * (N  1) / 2) x 2.
 returnmapping (bool.) – If ‘True’, a list containing the data array and a 2d array containing first coordinate included and excluded from each bin, and the first fend included and excluded from each bin is returned. Otherwise only the data array is returned.
Returns: Array in format requested with ‘arraytype’ containing binned data requested with ‘datatype’ pulled from ‘data_array’ or list of binned data array and mapping array.

hifive.hic_binning.
bin_trans_array
(data_array, data_mapping1, data_mapping2, binsize=10000, binbounds1=None, start1=None, stop1=None, binbounds2=None, start2=None, stop2=None, returnmapping=False, **kwargs)¶ Create an array of format ‘arraytype’ and fill ‘binsize’ bins or bins defined by ‘binbounds’ with data provided in the array passed by ‘unbinned’.
Parameters:  hic (
HiC
) – AHiC
class object containing fend and count data.  data_array (numpy array) – A 3d array containing data to be binned.
 data_mapping1 (numpy array) – An N x 4 2d integer array containing the start and stop coordinates, and start and stop fends for each of the N bin ranges along the first axis in ‘data_array’.
 data_mapping2 (numpy array) – An N x 4 2d integer array containing the start and stop coordinates, and start and stop fends for each of the N bin ranges along the second axis in ‘data_array’.
 binsize (int.) – This is the coordinate width of each bin. If binbounds is not None, this value is ignored.
 binbounds1 (numpy array) – An array containing start and stop coordinates for a set of userdefined bins along the first axis. Any bin from ‘data_array’ not falling in a bin is ignored.
 start1 (int.) – The coordinate at the beginning of the first bin for the first axis of the binned data. If unspecified, ‘start1’ will be the first multiple of ‘binsize’ below the first coordinate from ‘data_mapping1’. If ‘binbounds1’ is given, ‘start1’ is ignored. Optional.
 stop1 (int.) – The coordinate at the end of the last bin for the first axis of the binned data. If unspecified, ‘stop1’ will be the first multiple of ‘binsize’ after the last coordinate from ‘data_mapping1’. If needed, ‘stop1’ is adjusted upward to create a complete last bin. If ‘binbounds1’ is given, ‘stop1’ is ignored. Optional.
 binbounds2 (numpy array) – An array containing start and stop coordinates for a set of userdefined bins along the second axis. Any bin from ‘data_array’ not falling in a bin is ignored.
 start2 (int.) – The coordinate at the beginning of the first bin for the second axis of the binned data. If unspecified, ‘start2’ will be the first multiple of ‘binsize’ below the first coordinate from ‘data_mapping2’. If ‘binbounds2’ is given, ‘start2’ is ignored. Optional.
 stop2 (int.) – The coordinate at the end of the last bin for the second axis of the binned data. If unspecified, ‘stop2’ will be the first multiple of ‘binsize’ after the last coordinate from ‘data_mapping2’. If needed, ‘stop2’ is adjusted upward to create a complete last bin. If ‘binbounds2’ is given, ‘stop2’ is ignored. Optional.
 datatype (str.) – This specifies the type of data that is processed and returned. Options are ‘raw’, ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’. Observed values are always in the first index along the last axis, except when ‘datatype’ is ‘expected’. In this case, filter values replace counts. Conversely, if ‘raw’ is specified, unfiltered fends return value of one. Expected values are returned for ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’ values of ‘datatype’. ‘distance’ uses only the expected signal given distance for calculating the expected values, ‘fend’ uses only fend correction values, and both ‘enrichment’ and ‘expected’ use both correction and distance mean values.
 returnmapping (bool.) – If ‘True’, a list containing the data array and a 2d array containing first coordinate included and excluded from each bin, and the first fend included and excluded from each bin is returned. Otherwise only the data array is returned.
Returns: Array in format requested with ‘arraytype’ containing binned data requested with ‘datatype’ pulled from ‘unbinned’.
 hic (

hifive.hic_binning.
dynamically_bin_cis_array
(unbinned, unbinnedpositions, binned, binbounds, minobservations=10, searchdistance=0, removefailed=True, **kwargs)¶ Expand bins in ‘binned’ to include additional data provided in ‘unbinned’ as necessary to meet ‘minobservations’, or ‘searchdistance’ criteria.
Parameters:  unbinned (numpy array) – A 2d or 3d array containing data in either compact or upper format to be used for filling expanding bins. Array format will be determined from the number of dimensions.
 unbinnedpositions (numpy array) – A 2d integer array indicating the first and last coordinate of each bin in ‘unbinned’ array.
 binned (numpy array) – A 2d or 3d array containing binned data in either compact or upper format to be dynamically binned. Array format will be determined from the number of dimensions. Data in this array will be altered by this function.
 binbounds (numpy array) – An integer array indicating the start and end position of each bin in ‘binned’ array. This array should be N x 2, where N is the number of intervals in ‘binned’.
 minobservations (int.) – The fewest number of observed reads needed for a bin to counted as valid and stop expanding.
 searchdistance (int.) – The furthest distance from the bin minpoint to expand bounds. If this is set to zero, there is no limit on expansion distance.
 removefailed (bool.) – If a nonzero ‘searchdistance’ is given, it is possible for a bin not to meet the ‘minobservations’ criteria before stopping looking. If this occurs and ‘removefailed’ is True, the observed and expected values for that bin are zero.
Returns: None

hifive.hic_binning.
dynamically_bin_trans_array
(unbinned, unbinnedpositions1, unbinnedpositions2, binned, binbounds1, binbounds2, minobservations=10, searchdistance=0, removefailed=False, **kwargs)¶ Expand bins in ‘binned’ to include additional data provided in ‘unbinned’ as necessary to meet ‘minobservations’, or ‘searchdistance’ criteria.
Parameters:  unbinned (numpy array) – A 3d array containing data to be used for filling expanding bins. This array should be N x M x 2, where N is the number of bins or fends from the first chromosome and M is the number of bins or fends from the second chromosome.
 unbinnedpositions1 (numpy array) – A 2d integer array indicating the first and last coordinate of each bin along the first axis in ‘unbinned’ array.
 unbinnedpositions2 (numpy array) – A 2d integer array indicating the first and last coordinate of each bin along the first axis in ‘unbinned’ array.
 binned (numpy array) – A 3d array containing binned data to be dynamically binned. This array should be N x M x 2, where N is the number of bins from the first chromosome and M is the number of bins from the second chromosome. Data in this array will be altered by this function.
 binbounds1 (numpy array) – An integer array indicating the start and end position of each bin from the first chromosome in the ‘binned’ array. This array should be N x 2, where N is the size of the first dimension of ‘binned’.
 binbounds2 (numpy array) – An integer array indicating the start and end position of each bin from the second chromosome in the ‘binned’ array. This array should be N x 2, where N is the size of the second dimension of ‘binned’.
 minobservations (int.) – The fewest number of observed reads needed for a bin to counted as valid and stop expanding.
 searchdistance (int.) – The furthest distance from the bin minpoint to expand bounds. If this is set to zero, there is no limit on expansion distance.
 removefailed (bool.) – If a nonzero ‘searchdistance’ is given, it is possible for a bin not to meet the ‘minobservations’ criteria before stopping looking. If this occurs and ‘removefailed’ is True, the observed and expected values for that bin are zero.
Returns: None

hifive.hic_binning.
find_cis_signal
(hic, chrom, binsize=10000, binbounds=None, start=None, stop=None, startfend=None, stopfend=None, datatype='enrichment', arraytype='compact', maxdistance=0, skipfiltered=False, returnmapping=False, proportional=False, **kwargs)¶ Create an array of format ‘arraytype’ and fill with data requested in ‘datatype’.
Parameters:  hic (
HiC
) – AHiC
class object containing fend and count data.  chrom (str.) – The name of a chromosome contained in ‘hic’.
 binsize (int.) – This is the coordinate width of each bin. A value of zero indicates unbinned. If binbounds is not None, this value is ignored.
 binbounds (numpy array) – An array containing start and stop coordinates for a set of userdefined bins. Any fend not falling in a bin is ignored.
 start (int.) – The smallest coordinate to include in the array, measured from fend midpoints or the start of the first bin. If ‘binbounds’ is given, this value is ignored. If both ‘start’ and ‘startfend’ are given, ‘start’ will override ‘startfend’. If unspecified, this will be set to the midpoint of the first fend for ‘chrom’, adjusted to the first multiple of ‘binsize’ if not zero. Optional.
 stop (int.) – The largest coordinate to include in the array, measured from fend midpoints or the end of the last bin. If ‘binbounds’ is given, this value is ignored. If both ‘stop’ and ‘stopfend’ are given, ‘stop’ will override ‘stopfend’. If unspecified, this will be set to the midpoint of the last fend plus one for ‘chrom’, adjusted to the last multiple of ‘start’ + ‘binsize’ if not zero. Optional.
 startfend (int.) – The first fend to include in the array. If ‘binbounds’ is given, this value is ignored. If unspecified and ‘start’ is not given, this is set to the first valid fend in ‘chrom’. In cases where ‘start’ is specified and conflicts with ‘startfend’, ‘start’ is given preference. Optional
 stopfend (str.) – The first fend not to include in the array. If ‘binbounds’ is given, this value is ignored. If unspecified and ‘stop’ is not given, this is set to the last valid fend in ‘chrom’ plus one. In cases where ‘stop’ is specified and conflicts with ‘stopfend’, ‘stop’ is given preference. Optional.
 datatype (str.) – This specifies the type of data that is processed and returned. Options are ‘raw’, ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’. Observed values are always in the first index along the last axis, except when ‘datatype’ is ‘expected’. In this case, filter values replace counts. Conversely, if ‘raw’ is specified, unfiltered fends return value of one. Expected values are returned for ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’ values of ‘datatype’. ‘distance’ uses only the expected signal given distance for calculating the expected values, ‘fend’ uses only fend correction values, and both ‘enrichment’ and ‘expected’ use both correction and distance mean values.
 arraytype (str.) – This determines what shape of array data are returned in. Acceptable values are ‘compact’, ‘full’, and ‘upper’. ‘compact’ means data are arranged in a N x M x 2 array where N is the number of bins, M is the maximum number of steps between included bin pairs, and data are stored such that bin n,m contains the interaction values between n and n + m + 1. ‘full’ returns a square, symmetric array of size N x N x 2. ‘upper’ returns only the flattened upper triangle of a full array, excluding the diagonal of size (N * (N  1) / 2) x 2.
 maxdistance (str.) – This specifies the maximum coordinate distance between bins that will be included in the array. If set to zero, all distances are included.
 skipfiltered (bool.) – If ‘True’, all interaction bins for filtered out fends are removed and a reducedsize array is returned.
 returnmapping (bool.) – If ‘True’, a list containing the data array and a 2d array containing first coordinate included and excluded from each bin, and the first fend included and excluded from each bin is returned. Otherwise only the data array is returned.
 proportional (bool.) – Indicates whether interactions should proportionally contribute to bins based on the amount of overlap instead of being attributed solely based on midpoint. Only valid for binned heatmaps.
Returns: Array in format requested with ‘arraytype’ containing data requested with ‘datatype’.
 hic (

hifive.hic_binning.
find_multiresolution_heatmap
(hic, chrom, start, stop, chrom2=None, start2=None, stop2=None, minbinsize=5000, maxbinsize=12800000, minobservations=5, datatype='fend', midbinsize=40000, silent=True)¶ Create a multiresolution data and index heatmap array for a chromosome or chromosome pair.
Parameters:  hic (
HiC
) – AHiC
class object containing fend and count data.  chrom (str.) – The first (or only) chromosome to find the multiresolution heatmap for.
 start (int.) – The first bin start coordinate.
 stop (int.) – The last bin stop coordinate. The difference between start and stop must be a multiple of maxbinsize.
 chrom2 (str.) – The second chromosome to find the multiresolution heatmap for. If None, an intrachromosomal multiresolution heatmap is returned for chrom.
 start2 (int.) – The first bin start coordinate for the second chromosome.
 stop2 (int.) – The last bin stop coordinate for the second chromosome. The difference between start and stop must be a multiple of maxbinsize.
 maxbinsize (int.) – The maximum sized bin (lowest resolution) heatmap to be produced for each chromosome.
 minbinsize (int.) – The minimum sized bin (highest resolution) heatmap to be produced for each chromosome.
 minobservations (int.) – The minimum number of reads needed for a bin to be considered valid and be included in the heatmap.
 datatype (str.) – This specifies the type of data that is processed and returned. Options are ‘raw’, ‘distance’, ‘fend’, and ‘enrichment’. Observed values are always in the first index along the last axis. If ‘raw’ is specified, unfiltered fends return value of one. Expected values are returned for ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’ values of ‘datatype’. ‘distance’ uses only the expected signal given distance for calculating the expected values, ‘fend’ uses only fend correction values, and ‘enrichment’ uses both correction and distance mean values.
 midbinsize (int.) – This is used to determine the smallest bin size (highest resolution) complete heatmap to generate in producing the multiresolution heatmap. It does not affect the resulting output but can be used to limit the total memory usage, with higher values using less memory but more time.
 silent (bool.) – Indicates whether to display messages or not.
 hic (

hifive.hic_binning.
find_trans_signal
(hic, chrom1, chrom2, binsize=10000, binbounds1=None, binbounds2=None, start1=None, stop1=None, startfend1=None, stopfend1=None, start2=None, stop2=None, startfend2=None, stopfend2=None, datatype='enrichment', skipfiltered=False, returnmapping=False, **kwargs)¶ Create an array of format ‘arraytype’ and fill with data requested in ‘datatype’.
Parameters:  hic (
HiC
) – AHiC
class object containing fend and count data.  chrom (str.) – The name of a chromosome contained in ‘hic’.
 binsize (int.) – This is the coordinate width of each bin. A value of zero indicates unbinned. If binbounds is not None, this value is ignored.
 binbounds (numpy array) – An array containing start and stop coordinates for a set of userdefined bins. Any fend not falling in a bin is ignored.
 start (int.) – The smallest coordinate to include in the array, measured from fend midpoints or the start of the first bin. If ‘binbounds’ is given, this value is ignored. If both ‘start’ and ‘startfend’ are given, ‘start’ will override ‘startfend’. If unspecified, this will be set to the midpoint of the first fend for ‘chrom’, adjusted to the first multiple of ‘binsize’ if not zero. Optional.
 stop (int.) – The largest coordinate to include in the array, measured from fend midpoints or the end of the last bin. If ‘binbounds’ is given, this value is ignored. If both ‘stop’ and ‘stopfend’ are given, ‘stop’ will override ‘stopfend’. If unspecified, this will be set to the midpoint of the last fend plus one for ‘chrom’, adjusted to the last multiple of ‘start’ + ‘binsize’ if not zero. Optional.
 startfend (int.) – The first fend to include in the array. If ‘binbounds’ is given, this value is ignored. If unspecified and ‘start’ is not given, this is set to the first valid fend in ‘chrom’. In cases where ‘start’ is specified and conflicts with ‘startfend’, ‘start’ is given preference. Optional
 stopfend (str.) – The first fend not to include in the array. If ‘binbounds’ is given, this value is ignored. If unspecified and ‘stop’ is not given, this is set to the last valid fend in ‘chrom’ plus one. In cases where ‘stop’ is specified and conflicts with ‘stopfend’, ‘stop’ is given preference. Optional.
 datatype (str.) – This specifies the type of data that is processed and returned. Options are ‘raw’, ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’. Observed values are always in the first index along the last axis, except when ‘datatype’ is ‘expected’. In this case, filter values replace counts. Conversely, if ‘raw’ is specified, unfiltered fends return value of one. Expected values are returned for ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’ values of ‘datatype’. ‘distance’ uses only the expected signal given distance for calculating the expected values, ‘fend’ uses only fend correction values, and both ‘enrichment’ and ‘expected’ use both correction and distance mean values.
 arraytype (str.) – This determines what shape of array data are returned in. Acceptable values are ‘compact’, ‘full’, and ‘upper’. ‘compact’ means data are arranged in a N x M x 2 array where N is the number of bins, M is the maximum number of steps between included bin pairs, and data are stored such that bin n,m contains the interaction values between n and n + m + 1. ‘full’ returns a square, symmetric array of size N x N x 2. ‘upper’ returns only the flattened upper triangle of a full array, excluding the diagonal of size (N * (N  1) / 2) x 2.
 maxdistance (str.) – This specifies the maximum coordinate distance between bins that will be included in the array. If set to zero, all distances are included.
 skipfiltered (bool.) – If ‘True’, all interaction bins for filtered out fends are removed and a reducedsize array is returned.
 returnmapping (bool.) – If ‘True’, a list containing the data array and two 2d array containing first coordinate included and excluded from each bin, and the first fend included and excluded from each bin for the first and second axis is returned. Otherwise only the data array is returned.
Returns: Array in format requested with ‘arraytype’ containing data requested with ‘datatype’.
 hic (

hifive.hic_binning.
write_heatmap_dict
(hic, filename, binsize, includetrans=True, datatype='enrichment', chroms=[], dynamically_binned=False, minobservations=0, searchdistance=0, expansion_binsize=0, removefailed=False, **kwargs)¶ Create an h5dict file containing binned interaction arrays, bin positions, and an index of included chromosomes. This function is MPI compatible.
Parameters:  hic (
HiC
) – AHiC
class object containing fend and count data.  filename (str.) – Location to write h5dict object to.
 binsize (int.) – Size of bins for interaction arrays.
 includetrans (bool.) – Indicates whether trans interaction arrays should be calculated and saved.
 datatype (str.) – This specifies the type of data that is processed and returned. Options are ‘raw’, ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’. Observed values are always in the first index along the last axis, except when ‘datatype’ is ‘expected’. In this case, filter values replace counts. Conversely, if ‘raw’ is specified, unfiltered fends return value of one. Expected values are returned for ‘distance’, ‘fend’, ‘enrichment’, and ‘expected’ values of ‘datatype’. ‘distance’ uses only the expected signal given distance for calculating the expected values, ‘fend’ uses only fend correction values, and both ‘enrichment’ and ‘expected’ use both correction and distance mean values.
 chroms (list) – A list of chromosome names indicating which chromosomes should be included. If left empty, all chromosomes are included. Optional.
 dynamically_binned (bool.) – If ‘True’, return dynamically binned data.
 minobservations (int.) – The fewest number of observed reads needed for a bin to counted as valid and stop expanding.
 searchdistance (int.) – The furthest distance from the bin minpoint to expand bounds. If this is set to zero, there is no limit on expansion distance.
 expansion_binsize (int.) – The size of bins to use for data to pull from when expanding dynamic bins. If set to zero, unbinned data is used.
 removefailed (bool.) – If a nonzero ‘searchdistance’ is given, it is possible for a bin not to meet the ‘minobservations’ criteria before stopping looking. If this occurs and ‘removefailed’ is True, the observed and expected values for that bin are zero.
Returns: None
 hic (