Browse our latest Computational and Systems Biology articles

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    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Misic, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities

    Swapnesh Panigrahi et al.
    A broadly applicable deep-learning based method that recognizes rod-shaped bacteria of virtually any species in complex bacterial communities.
    1. Computational and Systems Biology

    Environmental fluctuations reshape an unexpected diversity-disturbance relationship in a microbial community

    Christopher P Mancuso et al.
    Laboratory experiments using a microbial community and mathematical modeling reveal how environmental disturbances can predictably alter the diversity and composition of an ecosystem.
    1. Computational and Systems Biology

    Inequalities in the distribution of National Institutes of Health research project grant funding

    Michael S Lauer, Deepshikha Roychowdhury
    Funding inequalities for NIH-supported research project grant investigators and organizations have increased over the past 25 years, but have modestly decreased over the past 3 years.
    1. Computational and Systems Biology
    2. Epidemiology and Global Health

    Characterizing human mobility patterns in rural settings of sub-Saharan Africa

    Hannah R Meredith et al.
    Mobile phone data reveal aspects of human mobility patterns in Sub-Saharan Africa missed by standard spatial models however, model estimates can be improved by accounting for trip urbanicity and region.
    1. Computational and Systems Biology

    PARROT is a flexible recurrent neural network framework for analysis of large protein datasets

    Daniel Griffith, Alex S Holehouse
    PARROT makes it easy for anyone to train and use system- or data-specific deep learning models that map between protein sequence and arbitrary sequence annotations.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Leveraging the Mendelian disorders of the epigenetic machinery to systematically map functional epigenetic variation

    Teresa Romeo Luperchio et al.
    Chromatin/transcriptome profiling in multiple mouse models with mutations in epigenetic machinery (EM) reveals shared abnormalities including many IgA-relevant genes, indicating that this kind of joint analysis may elucidate the multigenic nature of EM disorders.
    1. Computational and Systems Biology
    2. Neuroscience

    Continuous attractors for dynamic memories

    Davide Spalla et al.
    A neural network model with asymmetric synaptic interactions can store and retrieve multiple continuous memory sequences with their temporal structure.