AgingBank is not only a manually curated collection and annotation of experimentally supported associations between multi-level data and aging but also a platform that effectively integrates tools for computing and identifying aging-related biomarkers in multiple species. At the time of writing, AgingBank contains 3,771 experimentally verified aging related multi-omics entries from studies across more than 50 model organisms, including human, worms, flies, yeast and mice. The records include genome (SNP, CNV and somatic mutation), transcriptome (gene, lncRNA, miRNA and circRNA) and epigenome (DNA methylation and histone modification) and other modification and regulation elements (TF, enhancer, promoter, gene silencing, alternative splicing and RNA editing). In addition, AgingBank is also a big-data computational platform containing five useful tools, nearly 112 high-throughput experiments and 8,616 cancer samples (microarray and next-generation sequencing) of genes, miRNAs, lncRNAs, circRNAs and methylation sites related with aging.