{"prefix":"diabetesomic","name":"DiabetesOmic","description":"DiabetesOmic is a multi-omics database designed to collect and analyze transcriptional regulatory information across five high-throughput sequencing modalities, including ChIP-seq, RNA-seq, ATAC-seq, scATAC-seq, and scRNA-seq. This database's identifiers each represent a single sample. It contains clinical complication annotations including diabetic nephropathy, retinopathy, and atherosclerosis to enhance translational relevance. It enables the identification of disease-associated regulatory elements, epigenetic modifications, and cell type-specific molecular signatures, providing valuable insights into the molecular mechanisms of diabetes and its complications.","pattern":"^sample_\\d{3}$","uri_format":"https://bio.liclab.net/diabetesOmicdb/RNA-seq?sampleId=$1","providers":[],"homepage":"https://bio.liclab.net/diabetesOmicdb/","contact":{"name":"Jiang-hua Liu","orcid":"0000-0003-0344-3168","email":"liujianghua@usc.edu.cn"},"example":"sample_002","example_extras":[],"deprecated":false,"mappings":{},"synonyms":[],"keywords":["diabetes","omics","sample"],"publications":[{"pubmed":"40502930","doi":"10.1016/j.csbj.2025.05.008","pmc":"PMC12158550","title":"DiabetesOmic: A comprehensive multi-omics diabetes database","year":2025}],"appears_in":[],"depends_on":[],"namespace_in_lui":false,"contributor":{"name":"Maaya Manoj","orcid":"0009-0000-6974-6386","email":"maaya.m466@gmail.com","github":"maayamanoj466"},"reviewer":{"name":"Benjamin M. Gyori","orcid":"0000-0001-9439-5346","email":"b.gyori@northeastern.edu","github":"bgyori"},"preferred_prefix":"diabetesomic","github_request_issue":1628}