Browse our Tools and Resources

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    1. Neuroscience

    THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

    Martin N Hebart, Oliver Contier ... Chris I Baker
    THINGS-data reflects three large-scale neuroimaging and behavioral datasets of object processing in humans, comprising densely sampled functional MRI and magnetoencephalographic recordings, as well as 4.70 million similarity judgments in response to thousands of photographic images for up to 1854 objects.
    1. Cancer Biology
    2. Computational and Systems Biology

    Interrogating the precancerous evolution of pathway dysfunction in lung squamous cell carcinoma using XTABLE

    Matthew Roberts, Julia Ogden ... Carlos Lopez-Garcia
    XTABLE is the first easy-to-use bioinformatic solution that has been conceived and designed solely to interrogate the transcriptomes of premalignant stages of lung squamous cell carcinoma (LUSC) and enhance the development of LUSC prevention and detection strategies.
    1. Cell Biology

    Enhanced single RNA imaging reveals dynamic gene expression in live animals

    Yucen Hu, Jingxiu Xu ... Weirui Ma
    The combination of the MS2 system with the Suntag system as a signal amplifier allows enhanced single-molecule mRNA imaging in live cells and animals.
    1. Neuroscience

    A searchable image resource of Drosophila GAL4 driver expression patterns with single neuron resolution

    Geoffrey W Meissner, Aljoscha Nern ... FlyLight Project Team
    Single neuron images of Drosophila driver lines reveal neuron shape and are searchable, enabling comparisons to electron microscopy and prediction of intersectional neuron targeting strategies.
    1. Neuroscience
    2. Physics of Living Systems

    Granger causality analysis for calcium transients in neuronal networks, challenges and improvements

    Xiaowen Chen, Faustine Ginoux ... Claire Wyart
    A practical toolbox for application of Granger causality inference to calcium imaging data identifies strong driver neurons in the locus of the mesencephalic locomoter region in larval zebrafish.
    1. Microbiology and Infectious Disease

    Ribosomal RNA (rRNA) sequences from 33 globally distributed mosquito species for improved metagenomics and species identification

    Cassandra Koh, Lionel Frangeul ... Maria-Carla Saleh
    A score-based read selection strategy enables the assembly of novel full-length ribosomal RNA sequences for mosquitoes, which improves the physical and computational removal of interfering ribosomal RNA reads in RNA-seq and provides another molecular marker for taxonomic and phylogenetic inquiries.
    1. Cell Biology

    Novel repertoire of tau biosensors to monitor pathological tau transformation and seeding activity in living cells

    Erika Cecon, Atsuro Oishi ... Ralf Jockers
    Development of nanoluciferase complementation-based tau biosensors to detect tau conformational change and oligomerization in living cells in high-throughput assays.
    1. Developmental Biology

    Generation of a transparent killifish line through multiplex CRISPR/Cas9mediated gene inactivation

    Johannes Krug, Birgit Perner ... Christoph Englert
    Using the short-lived turquoise killifish, a transparent in vivo reporter line named klara is established that will be a valuable tool to explore development, senescence, aging, and regeneration.
    1. Chromosomes and Gene Expression
    2. Neuroscience

    A transcriptome atlas of leg muscles from healthy human volunteers reveals molecular and cellular signatures associated with muscle location

    Tooba Abbassi-Daloii, Salma el Abdellaoui ... Vered Raz
    Molecular atlas of Human leg muscles molecular atlas reveals muscle-specific signatures that discriminate between muscle groups.
    1. Neuroscience

    Multimodal mapping of cell types and projections in the central nucleus of the amygdala

    Yuhan Wang, Sabine Krabbe ... Scott M Sternson
    In the central amygdala, transcriptomic definition of cell types and corresponding spatial transcriptomic analysis reveals major regional differences in molecular organization and relates newly identified molecularly defined cell types to major axon projection targets.