malariagen_data.af1.Af1.average_fst#
- Af1.average_fst(region: str | Region | Mapping, cohort1_query: str, cohort2_query: str, sample_query_options: str | None = None, sample_sets: Sequence[str] | str | None = None, cohort_size: int | None = None, min_cohort_size: int | None = 15, max_cohort_size: int | None = 50, n_jack: int = 200, site_mask: str | None = 'default', site_class: str | None = None, random_seed: int = 42) Tuple[float, float] #
Compute average Hudson’s Fst between two specified cohorts.
Parameters#
- regionstr or Region or Mapping
Region of the reference genome. Can be a contig name, region string (formatted like “{contig}:{start}-{end}”), or identifier of a genome feature such as a gene or transcript.
- cohort1_querystr
A pandas query string to be evaluated against the sample metadata, to select samples to be included in the returned data.
- cohort2_querystr
A pandas query string to be evaluated against the sample metadata, to select samples to be included in the returned data.
- sample_query_optionsstr or None, optional
A pandas query string to be evaluated against the sample metadata, to select samples to be included in the returned data.
- 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.
- cohort_sizeint or None, optional
Randomly down-sample to this value if the number of samples in the cohort is greater. Raise an error if the number of samples is less than this value.
- 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.
- n_jackint, optional, default: 200
Number of blocks to divide the data into for the block jackknife estimation of confidence intervals. N.B., larger is not necessarily better.
- site_maskstr or None, optional, default: ‘default’
Which site filters mask to apply. See the site_mask_ids property for available values.
- site_classstr or None, optional
Select sites belonging to one of the following classes: CDS_DEG_4, (4-fold degenerate coding sites), CDS_DEG_2_SIMPLE (2-fold simple degenerate coding sites), CDS_DEG_0 (non-degenerate coding sites), INTRON_SHORT (introns shorter than 100 bp), INTRON_LONG (introns longer than 200 bp), INTRON_SPLICE_5PRIME (intron within 2 bp of 5’ splice site), INTRON_SPLICE_3PRIME (intron within 2 bp of 3’ splice site), UTR_5PRIME (5’ untranslated region), UTR_3PRIME (3’ untranslated region), INTERGENIC (intergenic, more than 10 kbp from a gene).
- random_seedint, optional, default: 42
Random seed used for reproducible down-sampling.
Returns#
- tuple[float, float]
A NumPy float of the Fst value and the standard error (SE).