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 transcription_factor_prediction_human_0_test.csv.gz against train set transcription_factor_prediction_human_0_train.csv.gz
Data Leakage:✖FailHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 22:30:52

Basic Descriptive Statistics

Filename transcription_factor_prediction_human_0_test.csv.gz transcription_factor_prediction_human_0_train.csv.gz
Number of sequences 1000 32378
Minimum length 101 101
Mean length 101.00 101.00
Maximum length 101 101
✖

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 transcription_factor_prediction_human_0_test.csv.gz transcription_factor_prediction_human_0_train.csv.gz
Data Leakage (percentage) 2.60% 0.23%
Data Leakage (count) 26 73
Similarity Histogram
98 high-similarity alignments
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_528_test seq_16124_train 0.99 0.99 100.0 99.00 2.03e-51
seq_523_test seq_11151_train 0.98 0.98 98.9 96.92 4.92e-49
seq_869_test seq_9176_train 1.00 0.98 98.0 96.04 5.31e-46
seq_803_test seq_3944_train 0.96 0.96 100.0 96.00 2.25e-49
seq_510_test seq_15637_train 0.98 0.98 97.9 95.94 2.41e-47
seq_813_test seq_8348_train 0.98 0.98 97.9 95.94 2.41e-47
seq_810_test seq_4637_train 0.97 0.97 98.9 95.93 2.34e-48
seq_612_test seq_22076_train 0.99 0.99 96.0 95.04 1.15e-44
seq_569_test seq_15596_train 0.97 0.97 97.9 94.96 1.13e-46
seq_612_test seq_12548_train 0.98 0.98 96.9 94.96 1.15e-45
seq_787_test seq_20030_train 0.98 0.98 96.9 94.96 1.15e-45
seq_681_test seq_21541_train 0.94 0.94 100.0 94.10 5.10e-48
seq_813_test seq_26577_train 0.94 0.94 100.0 94.10 5.10e-48
seq_913_test seq_29821_train 0.99 0.98 96.0 94.08 2.43e-43
seq_612_test seq_12552_train 0.99 0.99 95.0 94.05 5.19e-43
seq_813_test seq_13609_train 0.96 0.96 97.9 93.98 5.31e-46
seq_813_test seq_15596_train 0.96 0.96 97.9 93.98 5.31e-46
seq_913_test seq_15264_train 0.99 0.97 96.0 93.12 5.03e-42
seq_913_test seq_16899_train 0.99 0.97 96.0 93.12 5.03e-42
seq_567_test seq_26770_train 0.99 0.99 94.0 93.06 2.27e-41
seq_627_test seq_9176_train 0.96 0.96 96.9 93.02 2.36e-42
seq_869_test seq_16899_train 0.98 0.96 96.9 93.02 5.19e-43
seq_869_test seq_30629_train 0.98 0.96 96.9 93.02 5.19e-43
seq_979_test seq_22261_train 0.97 0.97 95.9 93.02 2.43e-43
seq_627_test seq_29821_train 0.97 0.98 95.9 93.02 1.11e-42
seq_627_test seq_15264_train 0.97 0.97 95.9 93.02 2.27e-41
seq_569_test seq_8348_train 0.97 0.97 95.9 93.02 2.43e-43
seq_913_test seq_21774_train 0.96 0.95 97.9 93.00 1.15e-44
seq_850_test seq_15596_train 0.98 0.98 94.9 93.00 2.36e-42
seq_612_test seq_22601_train 1.00 1.00 93.0 93.00 2.16e-40
seq_850_test seq_26577_train 1.00 1.00 93.0 93.00 2.16e-40
seq_869_test seq_28216_train 0.99 0.97 95.0 92.15 2.16e-40
seq_627_test seq_16998_train 0.98 0.98 94.0 92.12 8.92e-39
seq_990_test seq_13758_train 0.99 1.00 93.0 92.07 4.25e-39
seq_567_test seq_21555_train 0.99 0.99 93.0 92.07 9.60e-40
seq_627_test seq_6628_train 0.97 0.97 94.9 92.05 9.60e-40
seq_813_test seq_22793_train 0.98 0.98 93.9 92.02 1.02e-40
seq_603_test seq_31450_train 1.00 1.00 92.0 92.00 8.92e-39
seq_813_test seq_29215_train 0.96 0.96 95.8 91.97 1.11e-42
seq_612_test seq_8858_train 0.95 0.95 96.8 91.96 1.13e-43
seq_510_test seq_24384_train 0.95 0.95 96.8 91.96 1.13e-43
seq_523_test seq_17971_train 0.97 0.97 94.8 91.96 1.07e-41
seq_813_test seq_11590_train 0.97 0.97 94.8 91.96 1.07e-41
seq_567_test seq_19523_train 0.97 0.97 94.8 91.96 1.07e-41
seq_869_test seq_29205_train 1.00 0.97 94.0 91.18 9.60e-40
seq_913_test seq_6628_train 0.99 0.97 94.0 91.18 8.92e-39
seq_913_test seq_16998_train 0.99 0.97 94.0 91.18 8.92e-39
seq_913_test seq_9176_train 0.95 0.93 97.9 91.14 1.11e-42
seq_627_test seq_29205_train 0.99 0.98 93.0 91.14 3.91e-38
seq_627_test seq_21774_train 0.94 0.95 96.8 91.09 2.36e-42
seq_869_test seq_29821_train 0.95 0.94 96.8 91.09 2.36e-42
seq_567_test seq_27324_train 0.94 0.94 96.8 91.09 5.19e-43
seq_869_test seq_10499_train 0.92 0.92 98.9 91.09 5.33e-45
seq_567_test seq_32167_train 0.97 0.98 93.9 91.08 2.02e-39
seq_510_test seq_696_train 0.99 0.99 92.0 91.08 3.91e-38
seq_836_test seq_27113_train 0.99 0.99 92.0 91.08 3.91e-38
seq_534_test seq_3366_train 0.98 0.98 92.9 91.04 4.25e-39
seq_813_test seq_3856_train 0.98 0.98 92.9 91.04 4.25e-39
seq_569_test seq_3856_train 0.98 0.98 92.9 91.04 4.25e-39
seq_523_test seq_25004_train 0.95 0.95 95.8 91.01 5.03e-42
seq_569_test seq_13609_train 0.95 0.95 95.8 91.01 5.03e-42
seq_569_test seq_26577_train 0.95 0.95 95.8 91.01 5.03e-42
seq_569_test seq_29215_train 0.95 0.95 95.8 91.01 5.03e-42
seq_567_test seq_11067_train 0.95 0.95 95.8 91.01 5.03e-42
seq_569_test seq_11590_train 0.96 0.96 94.8 91.01 4.82e-41
seq_523_test seq_13702_train 1.00 1.00 91.0 91.00 3.55e-37
seq_603_test seq_19932_train 1.00 1.00 91.0 91.00 3.55e-37
seq_824_test seq_18756_train 0.97 0.97 93.8 90.99 4.56e-40
seq_813_test seq_23998_train 0.97 0.97 93.8 90.99 4.56e-40
seq_569_test seq_22793_train 0.97 0.97 93.8 90.99 4.56e-40
seq_569_test seq_23998_train 0.97 0.97 93.8 90.99 4.56e-40
seq_503_test seq_15340_train 0.97 0.97 93.8 90.99 4.56e-40
seq_567_test seq_27624_train 0.97 0.97 93.8 90.99 4.56e-40
seq_884_test seq_615_train 0.99 0.97 93.0 90.21 7.37e-37
seq_884_test seq_8608_train 0.98 1.00 92.0 90.16 3.17e-36
seq_627_test seq_30629_train 0.94 0.94 95.8 90.15 2.02e-39
seq_869_test seq_27762_train 0.96 0.94 95.8 90.15 4.56e-40
seq_869_test seq_15264_train 0.95 0.93 96.8 90.12 4.82e-41
seq_813_test seq_11734_train 0.93 0.93 96.8 90.12 2.36e-42
seq_567_test seq_7563_train 0.93 0.93 96.8 90.12 2.36e-42
seq_884_test seq_11507_train 0.97 0.98 92.9 90.11 8.17e-38
seq_884_test seq_7572_train 0.97 0.98 92.9 90.11 8.17e-38
seq_569_test seq_20968_train 0.98 0.97 92.9 90.11 8.17e-38
seq_813_test seq_29253_train 0.90 0.90 100.0 90.10 2.47e-45
seq_612_test seq_587_train 0.91 0.91 98.9 90.10 2.46e-44
seq_869_test seq_21774_train 0.92 0.91 98.9 90.10 1.13e-43
seq_604_test seq_32370_train 0.99 1.00 91.0 90.09 6.56e-36
seq_850_test seq_17500_train 0.99 0.99 91.0 90.09 1.53e-36
seq_627_test seq_28216_train 0.95 0.95 94.8 90.06 1.87e-38
seq_567_test seq_4264_train 0.94 0.94 95.7 90.05 2.27e-41
seq_567_test seq_25209_train 0.94 0.94 95.7 90.05 2.27e-41
seq_567_test seq_29723_train 0.94 0.94 95.7 90.05 2.27e-41
seq_824_test seq_9122_train 0.96 0.96 93.8 90.05 2.02e-39
seq_567_test seq_7003_train 0.96 0.96 93.8 90.05 2.02e-39
seq_567_test seq_7657_train 0.96 0.97 93.8 90.05 8.92e-39
seq_813_test seq_30898_train 0.97 0.97 92.8 90.02 1.87e-38
seq_588_test seq_13573_train 1.00 1.00 90.0 90.00 1.35e-35
seq_998_test seq_4837_train 1.00 1.00 90.0 90.00 1.35e-35