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Beyond Invariable Sites: Using Evolutionary Stasis to Map Multi-Layered Constraints on the Evolution of Viral and Mammalian Genomes

2026-04-10

Abstract excerpt

The quantification of genomic conservation has progressed from foundational statistical modeling of evolutionary rates to state-of-the-art phylogeny-aware deep learning architectures. Yet, a fundamental resolution gap remains whenever evolutionary rates closely approach the “zero-rate origin,” where standard selection inference tools will essentially ignore signals of extreme purifying section at invariant genome...

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Literature Corpus work
0629aefd-b570-5f81-ad52-c5445ef25074
DOI
10.64898/2026.04.09.717527
Open publication

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Beyond Invariable Sites: Using Evolutionary Stasis to Map Multi-Layered Constraints on the Evolution of Viral and Mammalian GenomesDOI 10.64898/2026.04.09.717527
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