Quantification and visualization of cis-regulatory dynamics in single-cell multi-omics data with TREASMO.

ABSTRACT: Recent advances in single-cell multi-omics technologies have provided unprecedented insights into regulatory processes. We introduce TREASMO, a versatile Python package designed to quantify and visualize transcriptional regulatory dynamics in single-cell multi-omics datasets. TREASMO has four modules, spanning data preparation, correlation quantification, downstream analysis and visualization, enabling comprehensive dataset exploration. By introducing a novel single-cell gene-peak correlation strength index, TREASMO facilitates accurate identification of regulatory changes at single-cell resolution. Validation on a hematopoietic stem and progenitor cell dataset showcases TREASMO's capacity in quantifying the gene-peak correlation strength at the single-cell level, identifying regulatory ma

SUBMITTER: Liu C 

PROVIDER: S-EPMC10836941 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature