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 lncrna_t_aestivum_test.csv.gz against train set lncrna_t_aestivum_train.csv.gz
Data Leakage:✖FailHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 22:31:23

Basic Descriptive Statistics

Filename lncrna_t_aestivum_test.csv.gz lncrna_t_aestivum_train.csv.gz
Number of sequences 1000 8000
Minimum length 111 108
Mean length 418.49 429.58
Maximum length 4073 4880
✖

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 lncrna_t_aestivum_test.csv.gz lncrna_t_aestivum_train.csv.gz
Data Leakage (percentage) 23.60% 13.76%
Data Leakage (count) 236 1101
Similarity Histogram
5147 high-similarity alignments (first 100 shown)
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_466_test seq_775_train 1.00 1.00 100.0 100.00 4.33e-185
seq_361_test seq_4811_train 1.00 1.00 100.0 100.00 2.10e-110
seq_361_test seq_2898_train 1.00 1.00 100.0 100.00 2.10e-110
seq_361_test seq_1781_train 1.00 1.00 100.0 100.00 2.10e-110
seq_361_test seq_4442_train 1.00 1.00 100.0 100.00 2.10e-110
seq_361_test seq_1790_train 1.00 1.00 100.0 100.00 2.10e-110
seq_361_test seq_4798_train 1.00 1.00 100.0 100.00 2.10e-110
seq_454_test seq_7713_train 1.00 1.00 100.0 100.00 3.08e-156
seq_454_test seq_5987_train 1.00 1.00 100.0 100.00 3.08e-156
seq_166_test seq_1355_train 1.00 1.00 100.0 100.00 0.00e+00
seq_990_test seq_3707_train 1.00 1.00 100.0 100.00 2.10e-110
seq_946_test seq_775_train 1.00 1.00 100.0 100.00 4.33e-185
seq_414_test seq_3815_train 1.00 1.00 100.0 100.00 6.81e-119
seq_414_test seq_6866_train 1.00 1.00 100.0 100.00 6.81e-119
seq_512_test seq_4670_train 1.00 1.00 100.0 100.00 2.90e-139
seq_512_test seq_5919_train 1.00 1.00 100.0 100.00 2.90e-139
seq_435_test seq_7850_train 1.00 1.00 100.0 100.00 1.30e-103
seq_435_test seq_1422_train 1.00 1.00 100.0 100.00 1.30e-103
seq_435_test seq_4607_train 1.00 1.00 100.0 100.00 1.30e-103
seq_77_test seq_4670_train 1.00 1.00 100.0 100.00 2.90e-139
seq_77_test seq_5919_train 1.00 1.00 100.0 100.00 2.90e-139
seq_758_test seq_4670_train 1.00 1.00 100.0 100.00 2.90e-139
seq_758_test seq_5919_train 1.00 1.00 100.0 100.00 2.90e-139
seq_54_test seq_4670_train 1.00 1.00 100.0 100.00 2.90e-139
seq_54_test seq_5919_train 1.00 1.00 100.0 100.00 2.90e-139
seq_642_test seq_7719_train 1.00 1.00 100.0 100.00 1.10e-125
seq_642_test seq_6927_train 1.00 1.00 100.0 100.00 1.10e-125
seq_996_test seq_7850_train 1.00 1.00 100.0 100.00 1.30e-103
seq_996_test seq_1422_train 1.00 1.00 100.0 100.00 1.30e-103
seq_996_test seq_4607_train 1.00 1.00 100.0 100.00 1.30e-103
seq_197_test seq_5460_train 1.00 1.00 99.7 99.70 3.68e-207
seq_452_test seq_6136_train 1.00 1.00 99.7 99.70 6.90e-192
seq_363_test seq_3830_train 1.00 1.00 99.7 99.70 5.56e-266
seq_739_test seq_2181_train 1.00 1.00 99.7 99.70 8.51e-187
seq_308_test seq_998_train 1.00 1.00 99.7 99.70 4.54e-202
seq_849_test seq_2640_train 1.00 1.00 99.6 99.60 2.44e-161
seq_849_test seq_2238_train 1.00 1.00 99.6 99.60 2.44e-161
seq_830_test seq_4670_train 1.00 1.00 99.6 99.60 1.42e-137
seq_830_test seq_5919_train 1.00 1.00 99.6 99.60 1.42e-137
seq_394_test seq_6226_train 1.00 1.00 99.6 99.60 1.42e-137
seq_512_test seq_6794_train 1.00 1.00 99.6 99.60 1.42e-137
seq_512_test seq_2734_train 1.00 1.00 99.6 99.60 1.42e-137
seq_512_test seq_6351_train 1.00 1.00 99.6 99.60 1.42e-137
seq_512_test seq_5169_train 1.00 1.00 99.6 99.60 1.42e-137
seq_512_test seq_1080_train 1.00 1.00 99.6 99.60 1.42e-137
seq_512_test seq_1402_train 1.00 1.00 99.6 99.60 1.42e-137
seq_973_test seq_5415_train 1.00 1.00 99.6 99.60 2.85e-139
seq_338_test seq_6226_train 1.00 1.00 99.6 99.60 1.42e-137
seq_77_test seq_6794_train 1.00 1.00 99.6 99.60 1.42e-137
seq_77_test seq_2734_train 1.00 1.00 99.6 99.60 1.42e-137
seq_77_test seq_6351_train 1.00 1.00 99.6 99.60 1.42e-137
seq_77_test seq_5169_train 1.00 1.00 99.6 99.60 1.42e-137
seq_77_test seq_1080_train 1.00 1.00 99.6 99.60 1.42e-137
seq_77_test seq_1402_train 1.00 1.00 99.6 99.60 1.42e-137
seq_758_test seq_6794_train 1.00 1.00 99.6 99.60 1.42e-137
seq_758_test seq_2734_train 1.00 1.00 99.6 99.60 1.42e-137
seq_758_test seq_6351_train 1.00 1.00 99.6 99.60 1.42e-137
seq_758_test seq_5169_train 1.00 1.00 99.6 99.60 1.42e-137
seq_758_test seq_1080_train 1.00 1.00 99.6 99.60 1.42e-137
seq_758_test seq_1402_train 1.00 1.00 99.6 99.60 1.42e-137
seq_54_test seq_6794_train 1.00 1.00 99.6 99.60 1.42e-137
seq_54_test seq_2734_train 1.00 1.00 99.6 99.60 1.42e-137
seq_54_test seq_6351_train 1.00 1.00 99.6 99.60 1.42e-137
seq_54_test seq_5169_train 1.00 1.00 99.6 99.60 1.42e-137
seq_54_test seq_1080_train 1.00 1.00 99.6 99.60 1.42e-137
seq_54_test seq_1402_train 1.00 1.00 99.6 99.60 1.42e-137
seq_138_test seq_6950_train 1.00 1.00 99.6 99.60 1.51e-154
seq_138_test seq_5468_train 1.00 1.00 99.6 99.60 1.51e-154
seq_236_test seq_4973_train 1.00 1.00 99.5 99.50 1.09e-125
seq_361_test seq_5548_train 1.00 1.00 99.5 99.50 1.04e-108
seq_361_test seq_6349_train 1.00 1.00 99.5 99.50 1.04e-108
seq_628_test seq_7726_train 1.00 1.00 99.5 99.50 6.74e-119
seq_990_test seq_2382_train 1.00 1.00 99.5 99.50 1.04e-108
seq_990_test seq_6898_train 1.00 1.00 99.5 99.50 1.04e-108
seq_149_test seq_2688_train 1.00 1.00 99.5 99.50 5.19e-107
seq_149_test seq_1191_train 1.00 1.00 99.5 99.50 5.19e-107
seq_149_test seq_1877_train 1.00 1.00 99.5 99.50 5.19e-107
seq_642_test seq_4689_train 1.00 1.00 99.5 99.50 5.43e-124
seq_197_test seq_3812_train 1.00 1.00 99.4 99.40 1.77e-205
seq_197_test seq_3751_train 1.00 1.00 99.4 99.40 1.77e-205
seq_197_test seq_946_train 1.00 1.00 99.4 99.40 1.77e-205
seq_197_test seq_1980_train 1.00 1.00 99.4 99.40 1.77e-205
seq_31_test seq_5025_train 1.00 1.00 99.4 99.40 2.00e-93
seq_31_test seq_4612_train 1.00 1.00 99.4 99.40 2.00e-93
seq_63_test seq_1277_train 1.00 1.00 99.4 99.40 4.39e-202
seq_435_test seq_2437_train 1.00 1.00 99.4 99.40 6.45e-102
seq_435_test seq_3634_train 1.00 1.00 99.4 99.40 6.45e-102
seq_92_test seq_7814_train 1.00 1.00 99.4 99.40 1.00e-91
seq_92_test seq_3118_train 1.00 1.00 99.4 99.40 1.00e-91
seq_996_test seq_2437_train 1.00 1.00 99.4 99.40 6.45e-102
seq_996_test seq_3634_train 1.00 1.00 99.4 99.40 6.45e-102
seq_739_test seq_7648_train 1.00 1.00 99.4 99.40 4.11e-185
seq_231_test seq_7025_train 1.00 1.00 99.3 99.30 1.58e-237
seq_849_test seq_2086_train 1.00 1.00 99.3 99.30 1.18e-159
seq_849_test seq_2889_train 1.00 1.00 99.3 99.30 1.18e-159
seq_849_test seq_3606_train 1.00 1.00 99.3 99.30 1.18e-159
seq_301_test seq_4224_train 1.00 1.00 99.3 99.30 4.76e-163
seq_301_test seq_6752_train 1.00 1.00 99.3 99.30 4.76e-163
seq_301_test seq_4673_train 1.00 1.00 99.3 99.30 4.76e-163
seq_301_test seq_7985_train 1.00 1.00 99.3 99.30 4.76e-163