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September 10, 2026

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09/02/2026

research article

Speeding up taxonomy in the digital age: A deep learning approach for identifying cryptic freshwater snails

Cryptic species complexes pose fundamental challenges to biologists, as species exhibit minimal morphological differences that require integrating morphology, genetics, and biogeography for identification. The authors present a deep learning approach to support species identification in the freshwater snail genus Radomaniola, a morphologically cryptic group from the Balkans.

Image credit: Vetter et al

Speeding up taxonomy in the digital age: A deep learning approach for identifying cryptic freshwater snails

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08/24/2026

research article

Mechanochemical modeling of exercise-induced skeletal muscle hypertrophy

Skeletal muscle naturally adapts its size and strength in response to physical activity, a process that is essential for both athletic training and rehabilitation. However, predicting how a specific training routine will alter a muscle’s shape remains difficult. This is because muscle growth relies on a complex, multiscale chain of events, where physical forces from movements trigger chemical signals that slowly rebuild the tissue over time.

Image credit: Devold et al

Mechanochemical modeling of exercise-induced skeletal muscle hypertrophy

08/12/2026

education

De novo assembly and authentication of ancient DNA metagenomes with nf-core/mag

The degraded nature of ancient DNA means that the standard techniques of genome assembly developed for modern DNA are unlikely to perform effectively, unless heavily modified. This hinders the incorporation of ancient data into broader metagenomic studies that would otherwise benefit from having deep time information on the evolution of different microbial species. 

Image credit: Jose G. Ortega Castro

De novo assembly and authentication of ancient DNA metagenomes with nf-core/mag

06/22/2026

software

pyhgf: A neural network library for predictive coding

The authors introduce pyhgf: a Python package backed by JAX and Rust for creating, manipulating, and sampling dynamic networks for predictive coding. They improve over other frameworks by enclosing the network components as transparent, modular, and malleable variables in the message-passing steps. The resulting graphs can implement arbitrary algorithms as belief propagation.

pyhgf: A neural network library for predictive coding

Image credit: Legrand et al

07/09/2026

research Article

Mind the gap: An embedding guide to safely travel in sequence space

 Given the amino acid sequence of the original enzyme and a set of residues for which the local environment should be conserved, i.e., the catalytic site, the author's approach generates mutants that differ vastly in the overall sequence while retaining the geometry of the conserved region, representing promising candidates for further screening

Mind the gap: An embedding guide to safely travel in sequence space

Image credit: USGS

06/22/2026

Research Article

Towards modelling phage therapy

Patients with dangerous antibiotic-resistant bacteria have been treated with mixtures of bacteriophages — viruses that infect bacteria. This treatment is highly personalized because the right phages must be selected for each patient’s infection. 

Towards modelling phage therapy

Image credit: de Boer, Schooley, and Perelson

06/23/2026

Education

Ten simple rules for writing a peer review

While many years are spent increasing our scientific expertise, the training that is needed on how exactly to review these important documents is often learned through practice; at times with little guidance. 

Ten simple rules for writing a peer review

Image credit: Andre William

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PLOS Computational Biology | ISSN: 1553-7358 (online)