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https://www.nature.com/articles/s41586-026-11044-y
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https://www.nature.com/articles/s41586-026-11030-4
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https://www.nature.com/articles/s41586-026-10926-5
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https://www.nature.com/articles/s41586-026-11005-5
By algorithmically aligning homologous loci across biological sequences, MSAs show site-specific patterns of conservation and facilitate the inference of evolutionary preferences for variants at specific positions

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https://www.nature.com/articles/s41586-026-11012-6
However, previous attempts had considerable limitations: fixed tree topology, simplified evolution models, inability to handle missing data, no site rate heterogeneity and the absence of an ancestry prior34,35,36,37,38,39,40,41,42

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https://www.nature.com/articles/s41597-022-01163-2
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https://www.nature.com/articles/s41586-026-10877-x
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https://www.nature.com/articles/s41586-026-11035-z
Middle, sequencing performed for each patient, with the number, site and histology of tumours in each patient

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https://www.nature.com/articles/s41586-026-10979-6
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