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-unmod_test.csv.gz against train set mrl-sample-egfp-unmod_train.csv.gz
Data Leakage:✖FailHow a flag is decided →
gb-qc v1.0.0 · run 2026-09-16 02:08:47

Basic Descriptive Statistics

Filename mrl-sample-egfp-unmod_test.csv.gz mrl-sample-egfp-unmod_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-unmod_test.csv.gz mrl-sample-egfp-unmod_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_23426_test seq_75760_train 1.00 1.00 99.8 99.80 0.00e+00
seq_2918_test seq_28710_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_32600_test seq_17072_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34881_test seq_117013_train 1.00 1.00 99.8 99.80 0.00e+00
seq_33670_test seq_14241_train 1.00 1.00 99.8 99.80 0.00e+00
seq_44717_test seq_170742_train 1.00 1.00 99.8 99.80 0.00e+00
seq_44749_test seq_113452_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32183_test seq_132587_train 1.00 1.00 99.8 99.80 0.00e+00
seq_17215_test seq_67165_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_20434_test seq_124251_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38118_test seq_164265_train 1.00 1.00 99.8 99.80 0.00e+00
seq_42768_test seq_34796_train 1.00 1.00 99.8 99.80 0.00e+00
seq_36261_test seq_60545_train 1.00 1.00 99.8 99.80 0.00e+00
seq_15881_test seq_117873_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10355_test seq_5898_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10387_test seq_89362_train 1.00 1.00 99.8 99.80 0.00e+00
seq_10643_test seq_81526_train 1.00 1.00 99.8 99.80 0.00e+00
seq_7087_test seq_159050_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32050_test seq_141533_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_37164_test seq_135051_train 1.00 1.00 99.8 99.80 0.00e+00
seq_4537_test seq_135355_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14944_test seq_114678_train 1.00 1.00 99.8 99.80 0.00e+00
seq_5607_test seq_107275_train 1.00 1.00 99.8 99.80 0.00e+00
seq_3701_test seq_143186_train 1.00 1.00 99.8 99.80 0.00e+00
seq_41671_test seq_121889_train 1.00 1.00 99.8 99.80 0.00e+00
seq_19385_test seq_219886_train 1.00 1.00 99.8 99.80 0.00e+00
seq_11524_test seq_102063_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_19370_test seq_192586_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18611_test seq_164902_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_45526_test seq_124021_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22255_test seq_103043_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8210_test seq_5328_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18383_test seq_148288_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38428_test seq_45069_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_18576_test seq_26454_train 1.00 1.00 99.8 99.80 0.00e+00
seq_32213_test seq_153688_train 1.00 1.00 99.8 99.80 0.00e+00
seq_11551_test seq_174073_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6365_test seq_107054_train 1.00 1.00 99.8 99.80 0.00e+00
seq_28417_test seq_45728_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14888_test seq_201146_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1127_test seq_109097_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6600_test seq_211843_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6696_test seq_126228_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34537_test seq_44866_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18190_test seq_94756_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_43306_test seq_92334_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38573_test seq_220544_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38701_test seq_93250_train 1.00 1.00 99.8 99.80 0.00e+00
seq_42995_test seq_48239_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8671_test seq_182696_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18111_test seq_206935_train 1.00 1.00 99.8 99.80 0.00e+00
seq_44415_test seq_210195_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_47769_test seq_5380_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22814_test seq_63369_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14205_test seq_4074_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27480_test seq_29285_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27704_test seq_215160_train 1.00 1.00 99.8 99.80 0.00e+00
seq_37667_test seq_52723_train 1.00 1.00 99.8 99.80 0.00e+00
seq_14181_test seq_109079_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38282_test seq_162325_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25132_test seq_95010_train 1.00 1.00 99.8 99.80 0.00e+00
seq_33184_test seq_117680_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1506_test seq_222538_train 1.00 1.00 99.8 99.80 0.00e+00
seq_38721_test seq_132524_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20486_test seq_139828_train 1.00 1.00 99.8 99.80 0.00e+00
seq_8469_test seq_124560_train 1.00 1.00 99.8 99.80 0.00e+00
seq_39799_test seq_103082_train 1.00 1.00 99.8 99.80 0.00e+00
seq_11920_test seq_78586_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_45480_test seq_157822_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45576_test seq_116635_train 1.00 1.00 99.8 99.80 0.00e+00
seq_36906_test seq_125402_train 1.00 1.00 99.8 99.80 0.00e+00
seq_6335_test seq_67910_train 1.00 1.00 99.8 99.80 0.00e+00
seq_1864_test seq_59118_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34633_test seq_45046_train 1.00 1.00 99.8 99.80 0.00e+00
seq_16349_test seq_167147_train 1.00 1.00 99.8 99.80 0.00e+00
seq_39073_test seq_122831_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_12199_test seq_174200_train 1.00 1.00 99.8 99.80 0.00e+00
seq_25871_test seq_76997_train 1.00 1.00 99.8 99.80 0.00e+00
seq_18085_test seq_44754_train 1.00 1.00 99.8 99.80 0.00e+00
seq_488_test seq_18682_train 1.00 1.00 99.8 99.80 0.00e+00
seq_30986_test seq_151568_train 1.00 1.00 99.8 99.80 0.00e+00
seq_30959_test seq_162787_train 1.00 1.00 99.8 99.80 0.00e+00
seq_22193_test seq_120441_train 1.00 1.00 99.8 99.80 0.00e+00
seq_45693_test seq_123184_train 1.00 1.00 99.8 99.80 0.00e+00
seq_34214_test seq_193239_train 1.00 1.00 99.8 99.80 0.00e+00
seq_20019_test seq_4825_train 1.00 1.00 99.8 99.80 0.00e+00
seq_36054_test seq_93381_train 1.00 1.00 99.8 99.80 0.00e+00
seq_24856_test seq_67666_train 1.00 1.00 99.8 99.80 0.00e+00
seq_27335_test seq_45724_train 1.00 1.00 99.8 99.80 0.00e+00
seq_46772_test seq_67206_train 1.00 1.00 99.8 99.80 0.00e+00