New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.
New methods reveal that complex local splicing variations are more prevalent in animals than previously appreciated, and demonstrate that local splicing variations are relevant for studies of development, gene regulation and neurodegenerative diseases.
The conductance-based encoding model creates a new bridge between statistical models and biophysical models of neurons, and infers visually-evoked excitatory and inhibitory synaptic conductances from spike trains in macaque retina.
A new measure for cross-frequency coupling assesses phase-amplitude coupling and amplitude-amplitude coupling, and accounts for confounding factors such as low-frequency amplitude fluctuations, using a flexible statistical modeling approach.
An analysis of more than 70,000 journal articles, including 5405 that were first released as a preprint on bioRxiv, shows that articles with a preprint received 49% more attention and 36% more citations than articles without one.
Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.