Computational and Systems Biology

Computational and Systems Biology

eLife reviews research involving the use of methods, models and software. Learn more about what we review and sign up for the latest research.
Illustration by Davide Bonazzi

Latest articles

    1. Computational and Systems Biology

    AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks

    Mayalen Etcheverry, Clément Moulin-Frier ... Michael Levin
    1. Neuroscience
    2. Computational and Systems Biology

    Visual information is broadcast among cortical areas in discrete channels

    Yiyi Yu, Jeffery N. Stirman ... Spencer LaVere Smith
    1. Computational and Systems Biology

    Statistical and computational methods for integrating microbiome, host genomics, and metabolomics data

    Rebecca A Deek, Siyuan Ma ... Hongzhe Li
    Advanced statistical and computational methods are reviewed and compared for integrating microbiome, host genomics, and metabolomics data, together with future research directions.
    1. Computational and Systems Biology

    Phantasus, a web application for visual and interactive gene expression analysis

    Maksim Kleverov, Daria Zenkova ... Alexey A Sergushichev
    Phantasus democratizes gene expression analysis, offering intuitive and interactive tools that streamline the exploration and analysis of user-provided data and over 96,000 public datasets.
    1. Cell Biology
    2. Computational and Systems Biology

    Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration

    Megan Haase, Tien Comlekoglu ... Silvia S Blemker
    A computational model of skeletal muscle regeneration reveals complex interplay of cytokines, angiogenesis, and cell behaviors, predicting that synergistic cytokine perturbations enhance skeletal muscle regeneration beyond individual cytokine interventions.
    1. Computational and Systems Biology
    2. Neuroscience

    Theoretical principles explain the structure of the insect head direction circuit

    Pau Vilimelis Aceituno, Dominic Dall'Osto, Ioannis Pisokas
    Three theoretical principles explain the neural activity observed in the head direction circuit of insects, the connectivity pattern underlying the circuit, and how the ubiquitous eight-column circuit structure emerged from evolutionary processes.

Senior editors

  1. Alan Moses
    University of Toronto, Canada
  2. Aleksandra Walczak
    Ecole Normale Superieure, France
  3. See more editors