DiSignAtlas: an atlas of human and mouse disease signatures based on bulk and single-cell transcriptomics.

ABSTRACT: Molecular signatures are usually sets of biomolecules that can serve as diagnostic, prognostic, predictive, or therapeutic markers for a specific disease. Omics data derived from various high-throughput molecular biology technologies offer global, unbiased and appropriately comparable data, which can be used to identify such molecular signatures. To address the need for comprehensive disease signatures, DiSignAtlas (http://www.inbirg.com/disignatlas/) was developed to provide transcriptomics-based signatures for a wide range of diseases. A total of 181 434 transcriptome profiles were manually curated from studies involving 1836 nonredundant disease types in humans and mice. Then, 10 306 comparison datasets comprising both disease and control samples, including 328 single-cell RNA sequencin

SUBMITTER: Zhai Z 

PROVIDER: S-EPMC10767933 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature