SBSM-Pro: support bio-sequence machine for proteins
Most Cited Paper
in Genomics and Phylogenetic Studies
18 Months Post-Publication
Class of 2026
“SBSM-Pro: support bio-sequence machine for proteins”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/genomics-and-phylogenetic-studies/2026/
Topics
SBSM-Pro · support bio-sequence machine · protein sequence analysis · machine learning for proteins · Biological sequence prediction
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Genomics and Phylogenetic Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/genomics-and-phylogenetic-studies/2026. Accessed 2026-07-17. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459