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 rnahl-mouse_val.csv.gz against train set rnahl-mouse_train.csv.gz
Data Leakage:!WarningHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 22:31:51

Basic Descriptive Statistics

Filename rnahl-mouse_val.csv.gz rnahl-mouse_train.csv.gz
Number of sequences 2058 9606
Minimum length 341 345
Mean length 3309.89 3369.52
Maximum length 12288 12288
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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 rnahl-mouse_val.csv.gz rnahl-mouse_train.csv.gz
Data Leakage (percentage) 0.39% 0.08%
Data Leakage (count) 8 8
Similarity Histogram
8 high-similarity alignments
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_1920_test seq_974_train 0.99 1.00 99.5 99.00 0.00e+00
seq_227_test seq_5801_train 1.00 1.00 98.8 98.50 0.00e+00
seq_469_test seq_5008_train 1.00 1.00 98.5 98.11 0.00e+00
seq_1491_test seq_637_train 1.00 0.99 98.7 97.52 0.00e+00
seq_1328_test seq_2095_train 1.00 0.99 97.9 96.53 0.00e+00
seq_1158_test seq_4500_train 0.95 1.00 98.7 93.96 0.00e+00
seq_874_test seq_1344_train 0.99 0.94 97.5 91.75 0.00e+00
seq_1096_test seq_5492_train 1.00 0.99 92.0 91.08 0.00e+00