{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15"],"submitter":["Luo Q"],"pubmed_abstract":["Metagenomic time-course studies provide valuable insights into the dynamics of microbial systems and have become increasingly popular alongside the reduction in costs of next-generation sequencing technologies. Normalization is a common but critical preprocessing step before proceeding with downstream analysis. To the best of our knowledge, currently there is no reported method to appropriately normalize microbial time-series data. We propose TimeNorm, a novel normalization method that considers the compositional property and time dependency in time-course microbiome data. It is the first method designed for normalizing time-series data within the same time point (intra-time normalization) and across time points (bridge normalization), separately. Intra-time normalization normalizes microb"],"journal":["Frontiers in genetics"],"pagination":["1417533"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11458461"],"repository":["biostudies-literature"],"pubmed_title":["TimeNorm: a novel normalization method for time course microbiome data."],"pmcid":["PMC11458461"],"pubmed_authors":["Luo Q","Lu M","Du R","Lytal N","An L","Jiang H","Butt H"],"additional_accession":[]},"is_claimable":false,"name":"TimeNorm: a novel normalization method for time course microbiome data.","description":"Metagenomic time-course studies provide valuable insights into the dynamics of microbial systems and have become increasingly popular alongside the reduction in costs of next-generation sequencing technologies. Normalization is a common but critical preprocessing step before proceeding with downstream analysis. To the best of our knowledge, currently there is no reported method to appropriately normalize microbial time-series data. We propose TimeNorm, a novel normalization method that considers the compositional property and time dependency in time-course microbiome data. It is the first method designed for normalizing time-series data within the same time point (intra-time normalization) and across time points (bridge normalization), separately. Intra-time normalization normalizes microb","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2026-06-09T07:20:36.046Z","creation":"2025-04-06T22:33:07.926Z"},"accession":"S-EPMC11458461","cross_references":{"pubmed":["39381141"],"doi":["10.3389/fgene.2024.1417533"]}}