{"id":19210,"date":"2026-10-12T12:07:13","date_gmt":"2026-10-12T06:37:13","guid":{"rendered":"https:\/\/cbirt.net\/staging\/?p=19210"},"modified":"2026-10-22T13:59:55","modified_gmt":"2026-10-22T08:29:55","slug":"turbomics-web-platform-metabolomics-multi-omics","status":"publish","type":"post","link":"https:\/\/cbirt.net\/staging\/turbomics-web-platform-metabolomics-multi-omics\/","title":{"rendered":"TurbOmics: A Free, No-Code Web Platform That Puts Metabolomics at the Center of Multi-Omics Analysis"},"content":{"rendered":"\n

Researchers at the Centro Nacional de Investigaciones Cardiovasculares (CNIC) in Madrid<\/strong>, together with colleagues at the European Molecular Biology Laboratory (EMBL) in Heidelberg<\/strong>, have developed TurbOmics<\/em><\/strong>, a free web platform that lets scientists analyze metabolomics data alongside proteomics and transcriptomics without writing code. The tool is described in a Software article published in Genome Biology<\/em> on 10 October 2026. The journal currently lists it as an early-access version.<\/p>\n\n\n\n

Why metabolomics is the hardest layer to integrate<\/h2>\n\n\n\n

Combining several molecular layers from the same samples gives a fuller picture of a biological system than any single layer on its own. Metabolomics is especially valuable because metabolites sit close to the observable phenotype. However, the authors point out that many existing integration tools handle metabolomics poorly. This is especially true for untargeted<\/strong> experiments, where thousands of mass-spectrometry signals have no confirmed identity. Many tools also depend on predefined knowledge bases, and the more advanced statistical methods usually require programming skills and statistical expertise.<\/p>\n\n\n\n

What TurbOmics does<\/h2>\n\n\n\n

TurbOmics brings the main steps of a multi-omics analysis into one point-and-click interface:<\/p>\n\n\n\n