Browse our latest Computational and Systems Biology articles

Page 6 of 115
    1. Computational and Systems Biology

    TopOMetry systematically learns and evaluates the latent dimensions of single-cell atlases

    Davi Sidarta-Oliveira, Ana Domingos, Licio A Velloso
    Not revised
    Reviewed Preprint v1
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Combining mutation and recombination statistics to infer clonal families in antibody repertoires

    Natanael Spisak, Gabriel Athènes ... Aleksandra M Walczak
    HILARy is a new algorithm for grouping B-cell receptor sequences into distinct lineages, a crucial task to analyze immune response and memory through repertoire sequencing.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Merging multi-omics with proteome integral solubility alteration unveils antibiotic mode of action

    Ritwik Maity, Xuepei Zhang ... Javier Sancho
    Like two peas in a pod but not exactly alike, similar molecules targeting the same bacterial protein behave differently, requiring systems biology and target deconvolution to gain better comprehension.
    1. Computational and Systems Biology

    Establishing comprehensive quaternary structural proteomes from genome sequence

    Edward Alexander Catoiu, Nathan Mih ... Bernhard Palsson
    Not revised
    Reviewed Preprint v1
    1. Computational and Systems Biology

    CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data

    Franck Simon, Maria Colomba Comes ... Hervé Isambert
    Not revised
    Reviewed Preprint v1
    1. Computational and Systems Biology

    Passive shaping of intra- and intercellular m6A dynamics via mRNA metabolism

    David Dierks, Ran Shachar ... Schraga Schwartz
    Not revised
    Reviewed Preprint v1
    1. Computational and Systems Biology

    Identifying images in the biology literature that are problematic for people with a color-vision deficiency

    Harlan P Stevens, Carly V Winegar ... Stephen R Piccolo
    Approximately 13% of figures in biology-related research articles are difficult for people with red/green colorblindness to decipher, but machine-learning models can help to identify these.