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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 te_prediction_rice_test.csv.gz against train set te_prediction_rice_train.csv.gz
Data Leakage:!WarningHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 22:31:23

Basic Descriptive Statistics

Filename te_prediction_rice_test.csv.gz te_prediction_rice_train.csv.gz
Number of sequences 588 4697
Minimum length 500 500
Mean length 500.00 500.00
Maximum length 500 500

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 te_prediction_rice_test.csv.gz te_prediction_rice_train.csv.gz
Data Leakage (percentage) 0.85% 0.13%
Data Leakage (count) 5 6
Similarity Histogram
6 high-similarity alignments
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_129_test seq_4497_train 1.00 1.00 99.8 99.80 2.51e-276
seq_2_test seq_3516_train 1.00 1.00 99.8 99.60 5.56e-275
seq_129_test seq_667_train 1.00 1.00 99.4 99.40 5.75e-273
seq_268_test seq_2261_train 0.99 1.00 95.8 94.65 2.86e-242
seq_77_test seq_4583_train 1.00 0.98 93.5 91.63 9.82e-230
seq_405_test seq_143_train 0.91 0.91 99.1 90.18 5.65e-241