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-egfp-pseudo_test.csv.gz against train set mrl-sample-egfp-pseudo_train.csv.gz
Data Leakage:✖FailHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-16 01:53:35

Basic Descriptive Statistics

Filename mrl-sample-egfp-pseudo_test.csv.gz mrl-sample-egfp-pseudo_train.csv.gz
Number of sequences 47771 222927
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-egfp-pseudo_test.csv.gz mrl-sample-egfp-pseudo_train.csv.gz
Data Leakage (percentage) 100.00% 99.90%
Data Leakage (count) 47771 222709
Similarity Histogram
14331300 high-similarity alignments (first 100 shown)
Query (Q) Target (T) Q Cov. T Cov. % Identity % Similarity E-value Alignment
seq_14776_test seq_12029_train 1.00 1.00 99.8 99.80 0.00e+00
seq_39004_test seq_148796_train 1.00 1.00 99.8 99.80 0.00e+00
seq_35378_test seq_183551_train 1.00 1.00 99.8 99.80 0.00e+00
seq_15056_test seq_76227_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25969_test seq_8555_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45526_test seq_124021_train 1.00 1.00 99.8 99.80 0.00e+00
seq_31770_test seq_183209_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23085_test seq_72269_train 1.00 1.00 99.8 99.80 0.00e+00
seq_46160_test seq_103317_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10739_test seq_140009_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32308_test seq_195494_train 1.00 1.00 99.8 99.80 0.00e+00
seq_40027_test seq_42405_train 1.00 1.00 99.8 99.80 0.00e+00
seq_31020_test seq_130052_train 1.00 1.00 99.8 99.80 0.00e+00
seq_41933_test seq_21252_train 1.00 1.00 99.8 99.80 0.00e+00
seq_31283_test seq_80568_train 1.00 1.00 99.8 99.80 0.00e+00
seq_46188_test seq_212194_train 1.00 1.00 99.8 99.80 0.00e+00
seq_12299_test seq_180388_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23021_test seq_80415_train 1.00 1.00 99.8 99.80 0.00e+00
seq_40177_test seq_165898_train 1.00 1.00 99.8 99.80 0.00e+00
seq_43144_test seq_22090_train 1.00 1.00 99.8 99.80 0.00e+00
seq_28224_test seq_164840_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4489_test seq_164279_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1128_test seq_89192_train 1.00 1.00 99.8 99.80 0.00e+00
seq_31274_test seq_167379_train 1.00 1.00 99.8 99.80 0.00e+00
seq_47634_test seq_107848_train 1.00 1.00 99.8 99.80 0.00e+00
seq_16464_test seq_74736_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4757_test seq_28538_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32315_test seq_80611_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32571_test seq_29596_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34497_test seq_200748_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34657_test seq_33887_train 1.00 1.00 99.8 99.80 0.00e+00
seq_39501_test seq_21664_train 1.00 1.00 99.8 99.80 0.00e+00
seq_30902_test seq_58129_train 1.00 1.00 99.8 99.80 0.00e+00
seq_42423_test seq_77779_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27523_test seq_14446_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32685_test seq_47592_train 1.00 1.00 99.8 99.80 0.00e+00
seq_5717_test seq_153454_train 1.00 1.00 99.8 99.80 0.00e+00
seq_46368_test seq_43530_train 1.00 1.00 99.8 99.80 0.00e+00
seq_44421_test seq_125335_train 1.00 1.00 99.8 99.80 0.00e+00
seq_5723_test seq_66944_train 1.00 1.00 99.8 99.80 0.00e+00
seq_130_test seq_124453_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18069_test seq_80767_train 1.00 1.00 99.8 99.80 0.00e+00
seq_35061_test seq_164823_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10713_test seq_62882_train 1.00 1.00 99.8 99.80 0.00e+00
seq_41627_test seq_190344_train 1.00 1.00 99.8 99.80 0.00e+00
seq_44994_test seq_141281_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45386_test seq_37170_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32764_test seq_104357_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8191_test seq_107341_train 1.00 1.00 99.8 99.80 0.00e+00
seq_33209_test seq_86853_train 1.00 1.00 99.8 99.80 0.00e+00
seq_19165_test seq_193601_train 1.00 1.00 99.8 99.80 0.00e+00
seq_47399_test seq_79337_train 1.00 1.00 99.8 99.80 0.00e+00
seq_5103_test seq_212463_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4180_test seq_6517_train 1.00 1.00 99.8 99.80 0.00e+00
seq_26156_test seq_44152_train 1.00 1.00 99.8 99.80 0.00e+00
seq_47501_test seq_143416_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38882_test seq_219644_train 1.00 1.00 99.8 99.80 0.00e+00
seq_35348_test seq_210661_train 1.00 1.00 99.8 99.80 0.00e+00
seq_13491_test seq_190351_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18848_test seq_139018_train 1.00 1.00 99.8 99.80 0.00e+00
seq_46071_test seq_141268_train 1.00 1.00 99.8 99.80 0.00e+00
seq_26830_test seq_81853_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20816_test seq_5083_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45876_test seq_50642_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45908_test seq_113841_train 1.00 1.00 99.8 99.80 0.00e+00
seq_47152_test seq_87808_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32725_test seq_18237_train 1.00 1.00 99.8 99.80 0.00e+00
seq_39193_test seq_157430_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32091_test seq_161341_train 1.00 1.00 99.8 99.80 0.00e+00
seq_31070_test seq_212103_train 1.00 1.00 99.8 99.80 0.00e+00
seq_16236_test seq_182174_train 1.00 1.00 99.8 99.80 0.00e+00
seq_39491_test seq_32865_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20084_test seq_68020_train 1.00 1.00 99.8 99.80 0.00e+00
seq_40043_test seq_64796_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4943_test seq_197072_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14048_test seq_83016_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20394_test seq_82371_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6228_test seq_45574_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32071_test seq_215472_train 1.00 1.00 99.8 99.80 0.00e+00
seq_28253_test seq_171937_train 1.00 1.00 99.8 99.80 0.00e+00
seq_9964_test seq_13020_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38200_test seq_206644_train 1.00 1.00 99.8 99.80 0.00e+00
seq_37012_test seq_346_train 1.00 1.00 99.8 99.80 0.00e+00
seq_37288_test seq_179268_train 1.00 1.00 99.8 99.80 0.00e+00
seq_9470_test seq_193763_train 1.00 1.00 99.8 99.80 0.00e+00
seq_590_test seq_215333_train 1.00 1.00 99.8 99.80 0.00e+00
seq_5681_test seq_140215_train 1.00 1.00 99.8 99.80 0.00e+00
seq_23287_test seq_9895_train 1.00 1.00 99.8 99.80 0.00e+00
seq_19341_test seq_211659_train 1.00 1.00 99.8 99.80 0.00e+00
seq_41556_test seq_98435_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17854_test seq_138965_train 1.00 1.00 99.8 99.80 0.00e+00
seq_46084_test seq_7680_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45477_test seq_43414_train 1.00 1.00 99.8 99.80 0.00e+00
seq_2176_test seq_207422_train 1.00 1.00 99.8 99.80 0.00e+00
seq_26682_test seq_53346_train 1.00 1.00 99.8 99.80 0.00e+00
seq_44353_test seq_82574_train 1.00 1.00 99.8 99.80 0.00e+00
seq_37164_test seq_135051_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34815_test seq_166996_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34146_test seq_204402_train 1.00 1.00 99.8 99.80 0.00e+00
seq_184_test seq_213418_train 1.00 1.00 99.8 99.80 0.00e+00