bb8db448470551c15c9b0ddab573a0c8e2e6303a,deepvariant/vcf_stats.py,,_compute_qual_histogram,#Any#,254

Before Change

  
  quals = [round(v.qual, 4) for v in single_var_stats]

  counts, bins = np.histogram(quals, bins=100)
  return _format_histogram_for_vega(counts, bins)


def _compute_gq_histogram(single_var_stats):

After Change

  
  quals = [round(v.qual, 4) for v in single_var_stats]
  // set range from 0 to 150 by default but allow it to expand
  return _default_limits_histogram(quals, default_min=0, default_max=150)


def _compute_gq_histogram(single_var_stats):
  Compute a histogram over genotype quality (GQ sub-column under FORMAT in VCF).

Instances