The reference dataset for this species has substantial quality issues. Thresholds should be treated as indicative only.
Derived from 8 genomes: 4 from RefSeq and 4 from other sources. For the derivation pipeline and the PASS / WARN / FAIL verdict model, see the methods page for REFSEQ-QC-v1.
Applied to the full All-The-Bacteria dataset, these thresholds place 1 genome at PASS, 0 at WARN, and 24 at FAIL (25 assessed in total). The per-tier genome lists can be downloaded below in .csv.gz format; the FAIL list also records the reason each assembly was rejected.
This table summarises the distribution of each metric, including standard deviation, mean, median, and percentiles.
A combined summary table across all species is available on the summary page.
| Metric | Distribution | n | Mean | SD | Min | Q1 | Median | Q3 | Max |
|---|---|---|---|---|---|---|---|---|---|
| N50 | insufficient_data | 4 | 480,971 | 77,369 | 403,602 | 403,602 | 480,971 | 558,339 | 558,339 |
| no_of_contigs | insufficient_data | 4 | 41 | 7 | 34 | 34 | 41 | 48 | 48 |
| longest | insufficient_data | 4 | 779,678 | 116,764 | 662,914 | 662,914 | 779,678 | 896,441 | 896,441 |
| GC_Content | insufficient_data | 4 | 67.21 | 0.14 | 67.08 | 67.08 | 67.21 | 67.35 | 67.35 |
| Completeness_Specific | insufficient_data | 4 | 100 | 0 | 100 | 100 | 100 | 100 | 100 |
| Contamination | insufficient_data | 4 | 0.02 | 0.01 | 0.01 | 0.01 | 0.02 | 0.02 | 0.02 |
| Total_Coding_Sequences | insufficient_data | 4 | 6,990 | 163.5 | 6,826 | 6,826 | 6,990 | 7,153 | 7,153 |
| Genome_Size | insufficient_data | 4 | 7,799,531 | 183,716 | 7,615,815 | 7,615,815 | 7,799,531 | 7,983,246 | 7,983,246 |
Full statistics including KS test vs RefSeq and Wasserstein distance are in the downloadable summary.csv.
Derived from 8 genomes including 4 RefSeq references
Both Fail and Warn bands shown as the published rounded values — easier to cite and consistent across the species page, CSV downloads, and downstream QC tools.
| Metric | Fail below | Warn below | Warn above | Fail above |
|---|---|---|---|---|
| Genome_Size | 7,600,000 | 7,600,000 | 8,000,000 | 8,000,000 |
| GC_Content | 67 | 67 | 67.4 | 67.4 |
| Total_Coding_Sequences | 6,800 | 6,800 | 7,200 | 7,200 |
| Completeness_Specific | 100 | 100 | - | - |
| Contamination | - | - | 1 | 1 |
| N50 | 403,000 | 403,000 | - | - |
| no_of_contigs | - | - | 50 | 50 |
| longest | - | - | - | - |
How to read this: a value between the two warn columns is typical for this species and passes QC. A value between a warn column and the corresponding fail column is borderline — worth a manual look but not an outright failure. A value outside the fail columns is unusual enough to fail QC.
The published rounded thresholds (the values in the table above) were applied to the full AllTheBacteria-2024-08 set for this species. Each row carries the per-metric verdict and, where applicable, the reason a genome was demoted to WARN or FAIL. Files are gzipped CSV.
This plot shows the relationship between the number of coding sequences (CDS) and genome size — how the number of genes scales with assembly length. The relationship should be roughly linear: as genome size increases, the number of coding sequences should rise proportionally. A secondary trend line or non-linear behaviour can indicate either bona fide sub-populations within the retained genomes (e.g. distinct sub-clades) or residual contamination that survived filtering.
Histogram comparing SRA to RefSeq; each bar shows genome density across value ranges to highlight shifts, peaks, or outliers.
QQ (quantile-quantile) plot comparing SRA and RefSeq. Points along the diagonal follow the expected distribution; deviations indicate skew, outliers, or other systematic differences.
A table of complete RefSeq genomes for Burkholderia seminalis used to calibrate this scheme. The file includes accessions, some sample information, genome size, GC content, and other key metrics.
Per-assembly inputs the engine used to derive the Burkholderia seminalis reference distribution for this scheme: sample, sylph species call, N50, contig count, longest contig, total length, completeness, contamination, total coding sequences, genome size, GC content. Gzipped CSV.