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 splice_sites_acceptors_test.csv.gz against train set splice_sites_acceptors_train.csv.gz
Data Leakage:!WarningHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 22:31:09

Basic Descriptive Statistics

Filename splice_sites_acceptors_test.csv.gz splice_sites_acceptors_train.csv.gz
Number of sequences 3000 30000
Minimum length 600 600
Mean length 600.00 600.00
Maximum length 600 600
!

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 splice_sites_acceptors_test.csv.gz splice_sites_acceptors_train.csv.gz
Data Leakage (percentage) 0.60% 0.12%
Data Leakage (count) 18 36
Similarity Histogram
37 high-similarity alignments
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_1784_test seq_20489_train 0.98 0.98 97.1 95.64 1.75e-299
seq_2067_test seq_24831_train 0.98 0.98 97.6 95.45 4.05e-301
seq_1142_test seq_26608_train 1.00 1.00 95.4 95.11 8.57e-288
seq_357_test seq_12995_train 0.99 0.99 95.9 94.75 2.08e-289
seq_77_test seq_27379_train 0.96 0.97 98.1 94.67 8.60e-301
seq_357_test seq_29234_train 0.98 0.98 96.4 94.47 5.02e-291
seq_793_test seq_18278_train 0.98 0.98 96.5 94.38 5.35e-292
seq_357_test seq_14065_train 0.98 0.98 95.6 94.17 6.79e-285
seq_2120_test seq_20613_train 0.97 0.97 97.0 94.09 5.70e-293
seq_2852_test seq_28267_train 0.96 0.96 97.4 93.80 2.86e-294
seq_2805_test seq_26669_train 0.99 0.98 95.1 93.67 1.91e-279
seq_1784_test seq_11489_train 0.98 0.98 95.4 93.30 4.39e-280
seq_357_test seq_16112_train 1.00 1.00 93.3 93.30 2.41e-268
seq_357_test seq_12470_train 0.98 0.98 94.9 93.29 3.27e-277
seq_2460_test seq_9189_train 0.96 0.96 97.0 92.93 4.38e-289
seq_1784_test seq_12889_train 0.96 0.96 96.2 92.83 1.31e-283
seq_2067_test seq_12897_train 0.95 0.95 97.3 92.73 9.89e-290
seq_2067_test seq_10925_train 0.94 0.95 98.0 92.61 5.70e-293
seq_2067_test seq_8754_train 0.94 0.95 98.0 92.61 5.70e-293
seq_1773_test seq_6274_train 0.98 0.98 94.2 92.60 5.65e-269
seq_1784_test seq_22566_train 0.96 0.96 96.6 92.54 7.36e-286
seq_1773_test seq_14668_train 0.94 0.94 98.5 92.39 6.76e-296
seq_1784_test seq_24595_train 0.96 0.96 95.8 92.26 3.99e-279
seq_2460_test seq_12255_train 0.95 0.95 97.0 92.15 3.24e-285
seq_1213_test seq_7340_train 0.96 0.96 95.3 91.96 1.28e-275
seq_1142_test seq_8002_train 0.97 0.97 94.6 91.57 1.50e-270
seq_40_test seq_20347_train 1.00 1.00 91.8 91.52 5.07e-250
seq_357_test seq_13306_train 0.97 0.97 93.8 91.27 1.41e-264
seq_1740_test seq_18278_train 0.95 0.95 95.4 90.92 9.15e-273
seq_357_test seq_24049_train 0.93 0.93 97.6 90.77 1.42e-284
seq_1802_test seq_20851_train 0.95 0.95 95.2 90.73 1.50e-270
seq_1142_test seq_15154_train 0.96 0.96 94.7 90.63 1.03e-267
seq_1303_test seq_1356_train 0.99 0.99 91.1 90.46 7.68e-245
seq_709_test seq_7612_train 0.95 0.96 94.7 90.44 7.88e-266
seq_2067_test seq_5303_train 0.92 0.92 98.0 90.16 2.74e-283
seq_655_test seq_16624_train 1.00 1.00 90.3 90.03 1.32e-237
seq_709_test seq_9584_train 0.97 0.99 93.0 90.02 4.20e-257