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.
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.
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.
A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.