Litcius/Paper detail

MUON: multimodal omics analysis framework

Danila Bredikhin, Ilia Kats, Oliver Stegle

2022Genome biology217 citationsDOIOpen Access PDF

Abstract

Advances in multi-omics have led to an explosion of multimodal datasets to address questions from basic biology to translation. While these data provide novel opportunities for discovery, they also pose management and analysis challenges, thus motivating the development of tailored computational solutions. Here, we present a data standard and an analysis framework for multi-omics, MUON, designed to organise, analyse, visualise, and exchange multimodal data. MUON stores multimodal data in an efficient yet flexible and interoperable data structure. MUON enables a versatile range of analyses, from data preprocessing to flexible multi-omics alignment.

Topics & Concepts

InteroperabilityPreprocessorData scienceOmicsComputer scienceBiologyComputational biologyData miningBioinformaticsWorld Wide WebArtificial intelligenceBioinformatics and Genomic NetworksSingle-cell and spatial transcriptomicsGene expression and cancer classification