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

    Predicting dynamic expression patterns in budding yeast with a fungal DNA language model

    Kuan-Hao Chao, Majed Mohamed Magzoub ... David R Kelley
    Not revised
    Reviewed Preprint v1
    • Important
    • Convincing
    1. Computational and Systems Biology

    Comprehensive RNA velocity by modeling the cascade of gene regulation, transcription, and splicing from single-cell RNA sequencing data with TSvelo

    Jiachen Li, Zhe Wang ... Ye Yuan
    TSvelo provides a comprehensive RNA velocity mathematics framework that can model the cascade of gene regulation, transcription, and splicing.
    1. Immunology and Inflammation
    2. Computational and Systems Biology

    A predictive systems vaccinology framework enables rational optimization of MVA-based vaccines

    Vincent Deman, Philippe Castera ... Anne-Sophie Beignon
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Incomplete
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    +Clonal stochasticity in early NK cell response to mouse cytomegalovirus is generated by mature subsets of varying proliferative ability

    Darren Wethington, Saeed Ahmad ... Jayajit Das
    Stochastic fluctuations play an important role in the MCMV-induced NK cell clonal expansion that ultimately gives rise to memory NK cells.
    1. Microbiology and Infectious Disease
    2. Computational and Systems Biology

    REPOP: bacterial population quantification from plate counts

    Pedro Pessoa, Carol Yunxiao Lu ... Steve Pressé
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Compelling
    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology

    Squidly harnesses enzyme functional hierarchy and contrastive learning to efficiently predict catalytic residues from sequence

    William JF Rieger, Mikael Bodén ... Ariane Mora
    Squidly enables efficient identification of enzyme catalytic residues by integrating functional hierarchies into a contrastive learning framework, requiring only protein sequences to produce scalable predictions across the known enzyme landscape.
    1. Neuroscience
    2. Computational and Systems Biology

    Opening the black box: a modular approach to spike sorting

    Samuel Garcia, Chris Halcrow ... Pierre Yger
    Revised
    Reviewed Preprint v2
    Updated
    • Valuable
    • Solid
    1. Computational and Systems Biology
    2. Neuroscience

    Individual differences drive social hierarchies in male mouse societies

    Jonathan Reinwald, Sarah Ghanayem ... Wolfgang Kelsch
    Automated, long-term tracking reveals that social rank in male mice is a stable individual trait that persists across group changes, with chasing serving to negotiate rank among dominant individuals.

Senior editors

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