Summary

Basic Descriptive Statistics
✖ Data Leakage
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Automated quality control for genomic machine learning datasets: scores the biases, duplicates and data leakage a classifier could exploit before you train on it.
Searching test set core_promoter_detection_tata_val.csv.gz against train set core_promoter_detection_tata_train.csv.gz
Data Leakage:✖FailHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 22:30:59

Basic Descriptive Statistics

Filename core_promoter_detection_tata_val.csv.gz core_promoter_detection_tata_train.csv.gz
Number of sequences 613 4904
Minimum length 70 70
Mean length 70.00 70.00
Maximum length 70 70
✖

Data Leakage

Every test sequence searched against the train set with MMseqs2, and scored on its best hit. Similarity is min(query coverage, target coverage) × percent identity: how much of the shorter sequence the alignment spans, times how much of that matches. The histogram is the distribution of those best hits.

The flag is the percentage of test sequences at or above the threshold: Pass at 0%, Warning below 2%, Fail at 2% or more. A test sequence that near-duplicates a training one is one the model has already seen, so the accuracy it earns there is not evidence. What to do about it →

The panel under the histogram lists those alignments, up to the first 100; every one of them, listed or not, is exported to mmseqs/mmseqs2_search_result.tsv beside this report. Its columns are:

Query (Q)
Identifier of the test sequence: seq_<i>_test, where i is its 0-based position in the input test file.
Target (T)
Identifier of the train sequence: seq_<i>_train, where i is its 0-based position in the input train file.
Q Cov.
Fraction of the query sequence covered by the alignment (0–1).
T Cov.
Fraction of the target sequence covered by the alignment (0–1).
% Identity
Percent identical aligned positions in the aligned region.
% Similarity
Similarity score used for leakage detection, calculated as min(Q Cov., T Cov.) × % Identity.
E-value
MMseqs2 E-value (lower is more "significant").
Alignment
Click “Show” to expand the alignment visualisation for a row.
Filename core_promoter_detection_tata_val.csv.gz core_promoter_detection_tata_train.csv.gz
Data Leakage (percentage) 4.89% 0.75%
Data Leakage (count) 30 37
Similarity Histogram
37 high-similarity alignments
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_425_test seq_2912_train 1.00 1.00 100.0 100.00 1.63e-35
seq_284_test seq_4405_train 1.00 1.00 100.0 100.00 1.63e-35
seq_547_test seq_2522_train 1.00 1.00 100.0 100.00 1.63e-35
seq_199_test seq_2620_train 1.00 1.00 100.0 100.00 1.63e-35
seq_302_test seq_2980_train 1.00 1.00 100.0 100.00 1.63e-35
seq_295_test seq_2396_train 1.00 1.00 100.0 100.00 1.63e-35
seq_172_test seq_1322_train 1.00 1.00 100.0 100.00 1.63e-35
seq_290_test seq_629_train 1.00 1.00 100.0 100.00 1.63e-35
seq_110_test seq_2710_train 0.99 0.99 100.0 98.60 7.98e-35
seq_488_test seq_1154_train 0.99 0.99 100.0 98.60 7.98e-35
seq_302_test seq_3215_train 0.99 0.99 100.0 98.60 7.98e-35
seq_597_test seq_3505_train 0.99 0.99 100.0 98.60 7.98e-35
seq_136_test seq_2157_train 1.00 1.00 98.5 98.50 8.59e-34
seq_190_test seq_2576_train 1.00 1.00 98.5 98.50 8.59e-34
seq_423_test seq_3210_train 1.00 1.00 98.5 98.50 8.59e-34
seq_455_test seq_4592_train 1.00 1.00 98.5 98.50 8.59e-34
seq_408_test seq_3702_train 0.97 0.97 100.0 97.10 3.90e-34
seq_186_test seq_1282_train 0.97 0.97 100.0 97.10 3.90e-34
seq_483_test seq_26_train 0.97 0.97 100.0 97.10 3.90e-34
seq_9_test seq_3695_train 0.97 0.97 100.0 97.10 3.90e-34
seq_52_test seq_4879_train 1.00 1.00 97.1 97.10 4.38e-32
seq_364_test seq_1636_train 1.00 1.00 97.1 97.10 4.38e-32
seq_364_test seq_4523_train 1.00 1.00 97.1 97.10 4.38e-32
seq_56_test seq_2494_train 0.97 0.97 100.0 97.10 3.90e-34
seq_27_test seq_4093_train 0.97 0.97 100.0 97.10 3.90e-34
seq_217_test seq_2914_train 0.97 0.97 100.0 97.10 3.90e-34
seq_7_test seq_1453_train 0.97 0.97 100.0 97.10 3.90e-34
seq_414_test seq_3342_train 1.00 1.00 97.1 97.10 4.38e-32
seq_604_test seq_2254_train 0.97 0.97 100.0 97.10 3.90e-34
seq_455_test seq_1973_train 1.00 1.00 97.1 97.10 4.38e-32
seq_136_test seq_663_train 0.99 0.99 97.1 95.74 2.09e-31
seq_136_test seq_4426_train 0.99 0.99 95.6 94.26 1.01e-29
seq_136_test seq_3886_train 1.00 1.00 92.8 92.80 4.56e-27
seq_579_test seq_4484_train 1.00 1.00 91.4 91.40 1.96e-25
seq_466_test seq_4757_train 1.00 1.00 91.4 91.40 1.96e-25
seq_376_test seq_1871_train 0.99 1.00 91.4 90.12 3.81e-24
seq_466_test seq_2539_train 1.00 1.00 90.0 90.00 7.96e-24