Publications & Manuscripts#

This page lists recent papers on new HyPhy methods and research groups, compiling the latest methodological developments, software workflows, and biological applications. Each publication is presented with its summary, implementation details, key findings, and references.


Evolutionary Methods & Workflows#

These papers introduce novel statistical models, hierarchical Bayesian frameworks, and workflow automations integrated into the HyPhy ecosystem.

 Method / Web Platform v3.datamonkey.org
Authors: Steven Weaver, Ben Murrell, Anton Nekrutenko, Sergei L. Kosakovsky Pond

Compiles the HyPhy analysis engine to WebAssembly to run selection and recombination tests serverlessly in the user's browser, preserving data privacy and bypassing server queues.

 Method / Model PRIME Selection
Authors: Hannah Kim, Konrad Scheffler, Anton Nekrutenko, Darren P. Martin, Steven Weaver, Ben Murrell, Sergei L. Kosakovsky Pond

Integrates biophysical properties (volume, charge, hydrophobicity) into codon substitution models (G-PRIME, E-PRIME, and S-PRIME) to resolve the physical basis of evolutionary constraints.

 Method / Model BUSTED-PH Phenotypes
Authors: Avery Selberg, Nathan Clark, Anton Nekrutenko, Maria Chikina, Sergei L. Kosakovsky Pond

Introduces a branch-site codon test to identify phenotype-associated episodic diversifying selection, contrasting foreground (phenotype-positive) against background lineages.

 Method / Model B-STILL Stasis
Authors: Sergei L. Kosakovsky Pond, Hannah Verdonk, Steven Weaver, Gallean Brown, Danielle Callan, Anton Nekrutenko, Darren P. Martin

A hierarchical Bayesian framework (B-STILL) that analyzes invariant sites to distinguish stochastic stasis from extreme purifying selection, mapping Evolutionary Stasis Anchors (ESAs).

 Method / Model BUSTED+MSS Synonymous Correction
Authors: Hannah Verdonk, Alyssa Pivirotto, Jody Hey, Sergei L. Kosakovsky Pond

Corrects BUSTED for global purifying selection acting on synonymous sites (Multiclass Synonymous Substitution, MSS) to prevent false positives in positive selection inference.

 Method / Workflow CAPHEINE Automation
Authors: Hannah Verdonk, Danielle Callan, Sergei L. Kosakovsky Pond

An automated, scalable pipeline that streamlines sequence curation, codon alignment, tree building, and the execution of multiple selection analyses in HyPhy.

 Method / Workflow AOC Workflow
Authors: Alexander G. Lucaci, Sergei L. Kosakovsky Pond

A Snakemake-based workflow automating data preparation and multi-model HyPhy runs, compiling results into interactive HTML dashboards for research sharing.

 Method / Substitution Models Non-Reversible Matrix
Authors: Rita Sianga-Mete, Penelope Hartnady, Wimbai Caroline Mandikumba, Kayleigh Rutherford, Christopher Brian Currin, Florence Phelanyane, Sabina Stefan, Steven Weaver, Sergei L. Kosakovsky Pond, Darren P. Martin

Introduces non-reversible models NREV6 and NREV12 to represent strand-specific mutational asymmetry, demonstrating substantial improvements in viral phylogenetic trees.


Biological Applications#

These studies utilize HyPhy evolutionary methodologies to resolve specific biological questions in virology and genomics.

 Application / Virology Epidemics & Pandemics
Authors: Jennifer L. Havens, Sergei L. Kosakovsky Pond, Jordan D. Zehr, Joel O. Wertheim, Kristian G. Andersen, Michael Worobey, Joel O. Wertheim, etc.

Cell study utilizing HyPhy's RELAX, aBSREL, and MEME models to demonstrate that viral adaptation in host reservoirs is not a prerequisite for epidemics, while identifying clear evolutionary signatures of lab passage.

 Application / Genomics Human Y Chromosome
Authors: Karol Pal, Aleksandra Greshnova, Sukhwan Park, Byung June Ko, Hana Palova, Martin Steinegger, Sergei L. Kosakovsky Pond, Stefan Canzar, Kateryna D. Makova

Uses HyPhy purifying selection tests to explore the survival of multicopy ampliconic fertility genes on the non-recombining human Y chromosome, highlighting gene conversion repair mechanisms.