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 mrl-sample-mcherry_val.csv.gz against train set mrl-sample-mcherry_train.csv.gz
Data Leakage:✖FailHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-15 23:48:13

Basic Descriptive Statistics

Filename mrl-sample-mcherry_val.csv.gz mrl-sample-mcherry_train.csv.gz
Number of sequences 28770 134257
Minimum length 855 855
Mean length 855.00 855.00
Maximum length 855 855
✖

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 mrl-sample-mcherry_val.csv.gz mrl-sample-mcherry_train.csv.gz
Data Leakage (percentage) 100.00% 99.98%
Data Leakage (count) 28770 134233
Similarity Histogram
8631000 high-similarity alignments (first 100 shown)
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_3977_test seq_26043_train 1.00 1.00 99.8 99.80 0.00e+00
seq_15413_test seq_129610_train 1.00 1.00 99.8 99.80 0.00e+00
seq_331_test seq_3834_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25488_test seq_6408_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6792_test seq_45222_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23721_test seq_67744_train 1.00 1.00 99.8 99.80 0.00e+00
seq_7543_test seq_90153_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17065_test seq_69667_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23599_test seq_18649_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10188_test seq_115754_train 1.00 1.00 99.8 99.80 0.00e+00
seq_26729_test seq_82233_train 1.00 1.00 99.8 99.80 0.00e+00
seq_19766_test seq_125825_train 1.00 1.00 99.8 99.80 0.00e+00
seq_12283_test seq_131986_train 1.00 1.00 99.8 99.80 0.00e+00
seq_3334_test seq_119082_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23476_test seq_98623_train 1.00 1.00 99.8 99.80 0.00e+00
seq_15430_test seq_16084_train 1.00 1.00 99.8 99.80 0.00e+00
seq_21197_test seq_88785_train 1.00 1.00 99.8 99.80 0.00e+00
seq_24529_test seq_52387_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6647_test seq_19930_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20255_test seq_113050_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27322_test seq_37318_train 1.00 1.00 99.8 99.80 0.00e+00
seq_15793_test seq_9883_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27252_test seq_86412_train 1.00 1.00 99.8 99.80 0.00e+00
seq_5248_test seq_17938_train 1.00 1.00 99.8 99.80 0.00e+00
seq_11539_test seq_17352_train 1.00 1.00 99.8 99.80 0.00e+00
seq_3479_test seq_73101_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25374_test seq_127903_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14227_test seq_85679_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22599_test seq_27779_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22695_test seq_53730_train 1.00 1.00 99.8 99.80 0.00e+00
seq_532_test seq_36787_train 1.00 1.00 99.8 99.80 0.00e+00
seq_9351_test seq_5179_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10323_test seq_68256_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25755_test seq_122153_train 1.00 1.00 99.8 99.80 0.00e+00
seq_677_test seq_87785_train 1.00 1.00 99.8 99.80 0.00e+00
seq_7419_test seq_58674_train 1.00 1.00 99.8 99.80 0.00e+00
seq_16554_test seq_76463_train 1.00 1.00 99.8 99.80 0.00e+00
seq_19162_test seq_26668_train 1.00 1.00 99.8 99.80 0.00e+00
seq_7603_test seq_53119_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20397_test seq_134231_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23563_test seq_11199_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10226_test seq_115591_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10258_test seq_26751_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17786_test seq_97469_train 1.00 1.00 99.8 99.80 0.00e+00
seq_3563_test seq_54845_train 1.00 1.00 99.8 99.80 0.00e+00
seq_21161_test seq_54424_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25588_test seq_9800_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20767_test seq_41097_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18081_test seq_80310_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18609_test seq_67577_train 1.00 1.00 99.8 99.80 0.00e+00
seq_12115_test seq_6777_train 1.00 1.00 99.8 99.80 0.00e+00
seq_12371_test seq_49679_train 1.00 1.00 99.8 99.80 0.00e+00
seq_24286_test seq_14388_train 1.00 1.00 99.8 99.80 0.00e+00
seq_9517_test seq_51067_train 1.00 1.00 99.8 99.80 0.00e+00
seq_7012_test seq_102048_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8868_test seq_49268_train 1.00 1.00 99.8 99.80 0.00e+00
seq_12242_test seq_119416_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6814_test seq_34394_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14023_test seq_3782_train 1.00 1.00 99.8 99.80 0.00e+00
seq_2033_test seq_100633_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27911_test seq_110407_train 1.00 1.00 99.8 99.80 0.00e+00
seq_21092_test seq_125911_train 1.00 1.00 99.8 99.80 0.00e+00
seq_225_test seq_68879_train 1.00 1.00 99.8 99.80 0.00e+00
seq_11755_test seq_103491_train 1.00 1.00 99.8 99.80 0.00e+00
seq_11755_test seq_130630_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1065_test seq_16892_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17702_test seq_32909_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22605_test seq_87510_train 1.00 1.00 99.8 99.80 0.00e+00
seq_24836_test seq_36192_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17601_test seq_25961_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27569_test seq_58429_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8242_test seq_82711_train 1.00 1.00 99.8 99.80 0.00e+00
seq_19120_test seq_89380_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10630_test seq_69626_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4138_test seq_43567_train 1.00 1.00 99.8 99.80 0.00e+00
seq_16501_test seq_95590_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27351_test seq_68743_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20430_test seq_116400_train 1.00 1.00 99.8 99.80 0.00e+00
seq_640_test seq_55591_train 1.00 1.00 99.8 99.80 0.00e+00
seq_232_test seq_51415_train 1.00 1.00 99.8 99.80 0.00e+00
seq_21435_test seq_3802_train 1.00 1.00 99.8 99.80 0.00e+00
seq_13707_test seq_100433_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6146_test seq_30522_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22897_test seq_36351_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17724_test seq_123121_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1958_test seq_131727_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20593_test seq_133226_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20131_test seq_66846_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10646_test seq_13167_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10678_test seq_101091_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1965_test seq_100636_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18903_test seq_67056_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4464_test seq_122985_train 1.00 1.00 99.8 99.80 0.00e+00
seq_15893_test seq_116236_train 1.00 1.00 99.8 99.80 0.00e+00
seq_3527_test seq_3052_train 1.00 1.00 99.8 99.80 0.00e+00
seq_3623_test seq_37703_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8264_test seq_29681_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18196_test seq_132470_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23767_test seq_31079_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4043_test seq_49440_train 1.00 1.00 99.8 99.80 0.00e+00