Data generation process.

<p><b>A</b>: Generation of sequences with selection only. Given a vector of mutational effects on the trait of interest, we sample independent equilibrium sequences under the Hamiltonian in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012091#p...

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Bibliographic Details
Main Author:	Nicola Dietler (12551766) (author)
Other Authors:	Alia Abbara (19557026) (author), Subham Choudhury (19727478) (author), Anne-Florence Bitbol (299618) (author)
Published:	2024
Subjects:	Biochemistry Medicine Genetics Molecular Biology Evolutionary Biology Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified minimal model comprising strong functional roles multiple sequence alignments additive functional trait mutational effect inference modeling results motivated also quite robust identify functional sectors identify sectors functional sectors mutational effects modeling showed functional sector functional properties also arise sequence data two methods sector identification respectively focus principled method nonlinear selection methods aiming mere fact homologous proteins give rise generically expected different premises different methods acid usage
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Data generation process.

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