malariagen_data.af1.Af1.xpehh_gwss

Af1.xpehh_gwss(contig: str, analysis: str = 'default', sample_sets: Sequence[str] | str | None = None, cohort1_query: str | None = None, cohort2_query: str | None = None, window_size: int = 200, percentiles: int | Tuple[int, ...] = (50, 75, 100), filter_min_maf: float = 0.05, map_pos: ndarray | None = None, min_ehh: float = 0.05, max_gap: int = 200000, gap_scale: int = 20000, include_edges: bool = True, use_threads: bool = True, min_cohort_size: int | None = 15, max_cohort_size: int | None = 50, random_seed: int = 42, chunks: int | str | Tuple[int | str, ...] | Callable[[Tuple[int, ...]], int | str | Tuple[int | str, ...]] = 'native', inline_array: bool = True) → Tuple[ndarray, ndarray]

Run XP-EHH GWSS.

Parameters

contigstr

Reference genome contig name. See the contigs property for valid contig names.

analysisstr, optional, default: ‘default’

Which haplotype phasing analysis to use. See the phasing_analysis_ids property for available values.

sample_setssequence of str or str or None, optional

List of sample sets and/or releases. Can also be a single sample set or release.

cohort1_querystr or None, optional

A pandas query string to be evaluated against the sample metadata, to select samples to be included in the returned data.

cohort2_querystr or None, optional

A pandas query string to be evaluated against the sample metadata, to select samples to be included in the returned data.

window_sizeint, optional, default: 200

The size of window in number of SNPs used to summarise XP-EHH over. If None, per-variant XP-EHH values are returned.

percentilesint or tuple of int, optional, default: (50, 75, 100)

If window size is specified, this returns the XP-EHH percentiles for each window.

filter_min_maffloat, optional, default: 0.05

Minimum minor allele frequency to use for filtering prior to passing haplotypes to allel.xpehh function.

map_posndarray or None, optional

Variant positions (genetic map distance).

min_ehhfloat, optional, default: 0.05

Minimum EHH beyond which to truncate integrated haplotype homozygosity calculation.

max_gapint, optional, default: 200000

Do not report scores if EHH spans a gap larger than this number of base pairs.

gap_scaleint, optional, default: 20000

Rescale distance between variants if gap is larger than this value.

include_edgesbool, optional, default: True

If True, report scores even if EHH does not decay below min_ehh at the end of the chromosome.

use_threadsbool, optional, default: True

If True, use multiple threads to compute XP-EHH.

min_cohort_sizeint or None, optional, default: 15

Minimum cohort size. Raise an error if the number of samples is less than this value.

max_cohort_sizeint or None, optional, default: 50

Randomly down-sample to this value if the number of samples in the cohort is greater.

random_seedint, optional, default: 42

Random seed used for reproducible down-sampling.

chunksint or str or tuple of int or str or Callable[[typing.Tuple[int, …]], int or str or tuple of int or str], optional, default: ‘native’

Define how input data being read from zarr should be divided into chunks for a dask computation. If ‘native’, use underlying zarr chunks. If a string specifying a target memory size, e.g., ‘300 MiB’, resize chunks in arrays with more than one dimension to match this size. If ‘auto’, let dask decide chunk size. If ‘ndauto’, let dask decide chunk size but only for arrays with more than one dimension. If ‘ndauto0’, as ‘ndauto’ but only vary the first chunk dimension. If ‘ndauto1’, as ‘ndauto’ but only vary the second chunk dimension. If ‘ndauto01’, as ‘ndauto’ but only vary the first and second chunk dimensions. Also, can be a tuple of integers, or a callable which accepts the native chunks as a single argument and returns a valid dask chunks value.

inline_arraybool, optional, default: True

Passed through to dask from_array().

Returns

xndarray

An array containing the window centre point genomic positions.

xpehhndarray

An array with XP-EHH statistic values for each window.