Yomix: an interactive tool for the exploration of low-dimensional embeddings in omics data

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Authors: Nicolas Perrin-Gilbert, Nisma Amjad, Pierre Fumeron, Silvia Tulli, Joshua J. Waterfall
Cited by: 0
References: 18

Abstract

SUMMARY: In the analysis of diverse omics data, a common and important preliminary step involves computing low-dimensional embeddings using techniques such as PCA, UMAP, t-SNE, or variational autoencoders. These embeddings provide a global overview of sample distributions and their relationships, often serving as the basis for formulating biological hypotheses. To facilitate rapid and intuitive exploration of such low-dimensional embeddings, we developed Yomix, an interactive omics-agnostic visualization and data exploration tool. Yomix enables users to flexibly define subsets of interest using a lasso selection tool, instantly compute their feature signatures, and compare their distributions. Yomix is a fast and efficient tool for interactive exploration of diverse omics datasets. AVAILABILITY AND IMPLEMENTATION: Yomix and its documentation are publicly available at https://github.com/perrin-isir/yomix.

Fields of Study & Subjects

Bioinformatics and Genomic Networks Single-cell and spatial transcriptomics Epigenetics and DNA Methylation

Publication details

Journal / source
Bioinformatics
Volume
42
Issue
5
Publication date
1 May 2026
Language
EN