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_val.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_val.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_val.csv.gz transcription_factor_prediction_human_0_train.csv.gz
Data Leakage (percentage) 2.90% 0.31%
Data Leakage (count) 29 101
Similarity Histogram
111 high-similarity alignments (first 100 shown)
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_392_test seq_8484_train 1.00 1.00 100.0 100.00 4.18e-52
seq_220_test seq_21811_train 0.99 0.99 100.0 99.00 2.03e-51
seq_177_test seq_11428_train 0.99 0.99 100.0 99.00 2.03e-51
seq_982_test seq_15441_train 0.99 0.99 100.0 99.00 2.03e-51
seq_336_test seq_29596_train 0.99 0.99 99.0 98.01 1.03e-49
seq_982_test seq_2447_train 0.97 0.97 100.0 97.00 4.70e-50
seq_336_test seq_31484_train 0.98 0.98 98.9 96.92 4.92e-49
seq_326_test seq_1121_train 0.99 0.98 98.0 96.04 1.13e-46
seq_10_test seq_13447_train 0.99 0.99 97.0 96.03 2.45e-46
seq_232_test seq_19461_train 0.99 1.00 96.0 95.04 5.29e-44
seq_232_test seq_1891_train 0.99 0.99 96.0 95.04 1.11e-42
seq_10_test seq_30823_train 0.99 0.99 96.0 95.04 1.15e-44
seq_251_test seq_18233_train 1.00 1.00 95.0 95.00 1.13e-43
seq_71_test seq_24399_train 0.95 0.95 100.0 95.00 1.07e-48
seq_232_test seq_7618_train 0.97 0.98 97.9 94.96 5.31e-46
seq_326_test seq_1206_train 0.97 0.97 97.9 94.96 1.13e-46
seq_922_test seq_625_train 0.98 0.98 96.9 94.96 1.15e-45
seq_794_test seq_23219_train 0.94 0.94 100.0 94.10 5.10e-48
seq_640_test seq_10890_train 0.98 0.99 96.0 94.08 2.43e-43
seq_326_test seq_11610_train 0.98 0.99 96.0 94.08 2.43e-43
seq_251_test seq_5465_train 0.99 0.99 95.0 94.05 5.19e-43
seq_47_test seq_2658_train 0.99 0.99 95.0 94.05 5.19e-43
seq_949_test seq_9269_train 1.00 1.00 94.0 94.00 5.03e-42
seq_251_test seq_30351_train 1.00 1.00 94.0 94.00 5.03e-42
seq_251_test seq_225_train 0.96 0.96 97.9 93.98 5.31e-46
seq_603_test seq_3471_train 0.98 0.98 95.9 93.98 5.29e-44
seq_10_test seq_32270_train 0.98 0.98 95.9 93.98 5.29e-44
seq_794_test seq_445_train 1.00 1.00 93.2 93.20 9.60e-40
seq_47_test seq_17996_train 0.99 0.97 96.0 93.12 5.03e-42
seq_220_test seq_6819_train 0.93 0.93 100.0 93.10 2.41e-47
seq_232_test seq_16433_train 0.98 1.00 95.0 93.10 4.82e-41
seq_232_test seq_24240_train 0.98 0.98 95.0 93.10 2.16e-40
seq_326_test seq_20909_train 0.99 0.99 94.0 93.06 2.27e-41
seq_10_test seq_14171_train 0.96 0.96 96.9 93.02 2.46e-44
seq_256_test seq_2389_train 0.98 0.97 95.9 93.02 1.11e-42
seq_599_test seq_26440_train 0.97 0.98 95.9 93.02 1.11e-42
seq_962_test seq_15637_train 0.97 0.97 95.9 93.02 2.43e-43
seq_999_test seq_1060_train 0.97 0.98 95.9 93.02 1.11e-42
seq_10_test seq_3846_train 0.97 0.97 95.9 93.02 2.43e-43
seq_251_test seq_8006_train 0.95 0.95 97.9 93.00 2.47e-45
seq_949_test seq_8451_train 0.98 0.98 94.9 93.00 2.36e-42
seq_949_test seq_9435_train 0.98 0.98 94.9 93.00 2.36e-42
seq_251_test seq_4655_train 0.98 0.98 94.9 93.00 2.36e-42
seq_10_test seq_28837_train 0.98 0.98 94.9 93.00 2.36e-42
seq_640_test seq_1060_train 0.97 1.00 95.0 92.15 9.60e-40
seq_47_test seq_26594_train 0.99 0.98 94.0 92.12 4.56e-40
seq_821_test seq_27408_train 0.92 0.92 100.0 92.10 1.13e-46
seq_10_test seq_13393_train 0.99 0.99 93.0 92.07 9.60e-40
seq_326_test seq_18983_train 0.96 0.97 95.9 92.06 5.03e-42
seq_47_test seq_1227_train 0.96 0.98 95.9 92.06 2.27e-41
seq_336_test seq_3320_train 0.95 0.96 96.9 92.06 5.19e-43
seq_962_test seq_696_train 0.98 0.98 93.9 92.02 1.02e-40
seq_47_test seq_10227_train 0.98 0.98 93.9 92.02 1.02e-40
seq_949_test seq_7879_train 0.96 0.96 95.8 91.97 1.11e-42
seq_251_test seq_14721_train 0.96 0.96 95.8 91.97 1.11e-42
seq_326_test seq_15878_train 0.95 0.95 96.8 91.96 1.13e-43
seq_326_test seq_17740_train 0.95 0.95 96.8 91.96 1.13e-43
seq_10_test seq_31073_train 0.95 0.95 96.8 91.96 1.13e-43
seq_949_test seq_31021_train 0.97 0.97 94.8 91.96 1.07e-41
seq_10_test seq_16091_train 0.97 0.97 94.8 91.96 1.07e-41
seq_256_test seq_20894_train 0.99 0.98 93.0 91.14 1.87e-38
seq_326_test seq_14832_train 0.97 0.95 95.9 91.11 1.02e-40
seq_640_test seq_8339_train 0.96 0.96 94.9 91.10 8.92e-39
seq_982_test seq_835_train 0.91 0.91 100.0 91.10 5.31e-46
seq_982_test seq_14394_train 0.91 0.91 100.0 91.10 5.31e-46
seq_256_test seq_12783_train 0.94 0.94 96.8 91.09 5.19e-43
seq_710_test seq_18476_train 0.94 0.94 96.8 91.09 5.19e-43
seq_326_test seq_29001_train 0.94 0.94 96.8 91.09 5.19e-43
seq_461_test seq_13095_train 0.94 0.94 96.8 91.09 5.19e-43
seq_232_test seq_12847_train 0.92 0.92 98.9 91.09 5.33e-45
seq_962_test seq_24384_train 0.92 0.92 98.9 91.09 5.33e-45
seq_949_test seq_31484_train 0.98 0.97 93.9 91.08 2.02e-39
seq_336_test seq_6315_train 0.97 0.97 93.9 91.08 3.91e-38
seq_326_test seq_31449_train 0.97 0.98 93.9 91.08 2.02e-39
seq_47_test seq_20311_train 0.97 0.98 93.9 91.08 2.02e-39
seq_999_test seq_5226_train 0.97 0.98 93.9 91.08 2.02e-39
seq_640_test seq_11940_train 0.99 0.99 92.0 91.08 3.17e-36
seq_10_test seq_5260_train 0.99 0.99 92.0 91.08 3.91e-38
seq_10_test seq_7121_train 0.99 0.99 92.0 91.08 3.91e-38
seq_10_test seq_14131_train 0.99 0.99 92.0 91.08 3.91e-38
seq_47_test seq_1206_train 0.93 0.93 97.8 91.05 5.29e-44
seq_336_test seq_8451_train 0.95 0.96 95.8 91.01 2.27e-41
seq_336_test seq_9435_train 0.95 0.96 95.8 91.01 2.27e-41
seq_326_test seq_5423_train 0.96 0.95 95.8 91.01 2.27e-41
seq_640_test seq_21565_train 0.96 0.97 94.8 91.01 2.16e-40
seq_536_test seq_5899_train 0.96 0.96 94.8 91.01 4.82e-41
seq_336_test seq_31021_train 0.96 0.97 94.8 91.01 2.16e-40
seq_47_test seq_24246_train 0.96 0.96 94.8 91.01 4.82e-41
seq_545_test seq_7572_train 0.96 0.96 94.8 91.01 4.82e-41
seq_999_test seq_10890_train 0.96 0.96 94.8 91.01 4.82e-41
seq_949_test seq_8240_train 0.97 0.97 93.8 90.99 4.56e-40
seq_794_test seq_21565_train 0.99 0.98 92.1 90.26 3.17e-36
seq_640_test seq_445_train 0.94 0.96 95.8 90.15 4.56e-40
seq_66_test seq_18924_train 0.94 0.94 95.8 90.15 2.02e-39
seq_326_test seq_28139_train 0.96 0.98 93.9 90.14 9.60e-40
seq_256_test seq_23964_train 0.93 0.93 96.8 90.12 2.36e-42
seq_251_test seq_25615_train 0.93 0.93 96.8 90.12 2.36e-42
seq_599_test seq_31318_train 0.93 0.93 96.8 90.12 2.36e-42
seq_982_test seq_6099_train 0.90 0.90 100.0 90.10 2.47e-45
seq_607_test seq_12538_train 0.99 0.99 91.0 90.09 1.53e-36