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Updated: Jun 30, 2026

A Protocol for Laboratory Housing of Turquoise Killifish (Nothobranchius furzeri)
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Published on: April 11, 2018

Killiverse: an interactive multi-omics web resource for killifish.

Abhinav Mittal, Param Priya Singh

    Biorxiv : the Preprint Server for Biology
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Killiverse offers a no-code platform for exploring killifish multi-omics data, overcoming computational challenges. This resource facilitates rapid hypothesis generation and comparative analysis across species for aging and regeneration research.

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    Published on: August 15, 2019

    Area of Science:

    • * Genomics and Bioinformatics
    • * Model Organism Research

    Background:

    • * Killifish are crucial vertebrate models for aging, regeneration, and developmental biology.
    • * Increasing multi-omics data generation for killifish is hindered by computational challenges and lack of accessible resources.
    • * This limits the widespread adoption and reuse of valuable killifish datasets.

    Purpose of the Study:

    • * To develop an accessible web resource for intuitive exploration of killifish multi-modal omics data.
    • * To address the bottleneck in computational challenges for killifish data analysis and reuse.
    • * To facilitate broader adoption of the killifish model organism in scientific research.

    Main Methods:

    • * Developed Killiverse, an interactive, no-code, web-based platform.
    • * Aggregated and standardized diverse omics datasets (transcriptomes, proteomes, lipidomes) using consistent pipelines and genome assemblies.
    • * Integrated features for customized visualization, cross-study/species analysis, and ortholog mapping.

    Main Results:

    • * Killiverse provides a centralized, user-friendly platform for accessing and analyzing killifish multi-omics data.
    • * The platform supports exploration of bulk and single-cell transcriptomics, proteomic, and lipidomic datasets.
    • * Includes ortholog mapping to facilitate comparative genomics with other model organisms.

    Conclusions:

    • * Killiverse accelerates hypothesis development by enabling pattern identification across studies and species.
    • * Ortholog mapping enhances biological context and facilitates cross-species comparisons.
    • * The platform innovates genomics data visualization and serves as a template for future bioinformatic tools.