@sishuowang & Meade introduce phyloHessian to enable the use of complex mixture substitution models in molecular dating. Empirical analysis of ancient symbiont lineages leads to a revised understanding of their host association origins.

🔗 https://doi.org/10.1093/molbev/msag039

#evobio #molbio #compbio

Robbins, Liu & Kelly present RECUR, a method for identifying recurrent amino acid substitutions from multiple sequence alignments that is fast, easy to use, and scalable to thousands of sequences.

🔗 https://doi.org/10.1093/molbev/msag036

#evobio #molbio #compbio

Deng et al. present TreeProfiler, a tool for automated annotation and interactive exploration of hundreds of features along large gene and species trees, with seamless summarization of mapped traits at internal nodes.

🔗 https://doi.org/10.1093/molbev/msag028

#evobio #molbio #compbio

Martí-Gómez et al. developed gpmap-tools, integrating models for inference, phenotypic imputation, and error estimation from multiplex assays of variant effect data or natural sequences in the presence of genetic interactions.

🔗 https://doi.org/10.1093/molbev/msag023

#evobio #molbio #compbio

Anchieri et al. benchmark the inference of selection with aDNA-like time series datasets, showing that ApproxWF can accurately estimate selection with datasets of ∼100 individuals when selection is strong.

🔗 https://doi.org/10.1093/gbe/evaf234

#genome #evolution #compbio

Ramos-González et al. present PharaohFUN, a web application designed for the evolutionary and functional analysis of protein sequences in photosynthetic eukaryotes, leveraging orthology relationships.

🔗 https://doi.org/10.1093/molbev/msag011

#evobio #molbio #compbio

Malik et al. present the web-based Structome-AlignViewer, for evaluating structure-aware alignments through spatial mapping of alignment columns to protein structures, and quantitative confidence scoring.

🔗 https://doi.org/10.1093/gbe/evag004

#genome #evolution #compbio

Shankar et al. present the updated MicrobeTrace 2.0 as a next-generation, interoperable tool for genomic epidemiology and data-driven public health response.

🔗 https://doi.org/10.1093/molbev/msaf334

#evobio #molbio #compbio

In 1952, Alan Turing proposed that simple chemical reactions + diffusion could create spots, stripes, and spirals in nature. 70 years later, we're still finding his equations everywhere—from zebrafish stripes to cardiac arrhythmias. Math predicting biology at its finest.

#CompBio #MathBiology #Biophysics

In a new Review, Peede et al. overview the SMC model and extensions, discuss examples of discoveries made with the help of SMC-based inference, and comment on the assumptions, benefits, and drawbacks of various methods.

🔗 https://doi.org/10.1093/gbe/evaf229

#genome #evolution #compbio