1,550 results found
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism

    Iain G Johnston et al.
    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.
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    A new view of transcriptome complexity and regulation through the lens of local splicing variations

    Jorge Vaquero-Garcia et al.
    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.
    1. Cell Biology
    2. Computational and Systems Biology

    Spatially coordinated dynamic gene transcription in living pituitary tissue

    Karen Featherstone et al.
    Quantitative statistical modelling reveals local coordination of stochastic gene transcription dynamics in pituitary tissue, which is relevant for integrated tissue responses to physiological stimuli.
    1. Computational and Systems Biology
    2. Ecology

    Resource Competition: When communities collide

    Jason Merritt, Seppe Kuehn
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  1. Research: Publication bias and the canonization of false facts

    Silas Boye Nissen et al.
    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.
    1. Epidemiology and Global Health

    Science Forum: Unit of analysis issues in laboratory-based research

    Nick R Parsons et al.
    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.
    1. Human Biology and Medicine
    2. Neuroscience

    Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders

    Cian O'Donnell et al.
    Computational modeling and analysis of mouse neural population data finds that the excitation/inhibition imbalance theory of brain disorders is too limited to account for key changes in neural activity statistics.

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