Global SARS-CoV-2 Proteome Mutation Burden Atlas Derived From 103 Million Amino Acid Sequences Covering S, N, M, E, ORF1a, ORF1b, ORF3a, ORF6, ORF7a, ORF7b, and ORF8 Proteins Spanning 2020 to Q3-2025

This dataset presents the largest known per-protein amino acid mutation burden analysis of SARS-CoV-2 to date, encompassing 103,378,188 high-quality translated sequences from global surveillance.
For each of the 11 canonical SARS-CoV-2 proteins (structural, replicase, and accessory), we provide:
Per-sequence mutation burden vs. Wuhan-Hu-1 referenceYear-stratified evolutionary statistics (where metadata available)Chunked, analysis-ready records in JSON.zst and TSV.zst formats

SARS-CoV-2 Mutation Burden Summary
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S: 9398268 seqs, mean burden = 113.66
N: 9397174 seqs, mean burden = 37.83
M: 9398092 seqs, mean burden = 12.10
E: 9398041 seqs, mean burden = 2.24
ORF1a: 9398286 seqs, mean burden = 178.16
ORF1b: 9398287 seqs, mean burden = 6940.96
ORF3a: 9398086 seqs, mean burden = 5.92
ORF6: 9397993 seqs, mean burden = 1.04
ORF7a: 9397998 seqs, mean burden = 7.06
ORF7b: 9397956 seqs, mean burden = 2.47
ORF8: 9397712 seqs, mean burden = 4.93
Note:
ORF1b burden reflects alignment artifact due to frameshift-dependent expression; values not biologically comparable to other genes.

Total Sequences: 103,378,188
Please properly cite this dataset if you use it. This dataset is for my upcoming journal article. Also that, earlier i started this processing for 2025 but expanded to contain 2020 up to 2025 so even tough a few folders contain label 2025 but all has coverage span from 2020 up to quarter 3 of 2025
Study & Data Processed by: [e-mail]