Conducting multi-omics studies requires several steps:
1. Sample Collection: Biological samples such as tumor tissue, blood, or other bodily fluids are collected. 2. Data Generation: Different omics technologies are used to generate data. For example, sequencing technologies for genomics, RNA-Seq for transcriptomics, mass spectrometry for proteomics, and liquid chromatography for metabolomics. 3. Data Integration: Advanced computational tools and algorithms are employed to integrate data from different omics layers. 4. Data Analysis: Statistical and bioinformatics methods are used to analyze the integrated data to identify patterns, pathways, and potential biomarkers.
