The omics discovery REST interface. Issue Volume 48:Issue W1(2020) (6th May 2020)

• Record Type: Journal Article
• Authors: Dass, Gaurhari; Vu, Manh-Tu; Xu, Pan; Audain, Enrique; Hitz, Marc-Phillip; Grüning, Björn A; Hermjakob, Henning; Perez-Riverol, Yasset
• Is Part Of: Nucleic acids research. Volume 48:Issue W1(2020)
• Page Start: W380
• Page End: W384
• Publication Date: 2020-05-06
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkaa326
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: The Omics Discovery Index is an open source platform that can be used to access, discover and disseminate omics datasets. OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets. Using an efficient indexing system, OmicsDI integrates different biological entities including genes, transcripts, proteins, metabolites and the corresponding publications from PubMed. In addition, it implements a group of pipelines to estimate the impact of each dataset by tracing the number of citations, reanalysis and biological entities reported by each dataset. Here, we present the OmicsDI REST interface (www.omicsdi.org/ws/ ) to enable programmatic access to any dataset in OmicsDI or all the datasets for a specific provider (database). Clients can perform queries on the API using different metadata information such as sample details (species, tissues, etc), instrumentation (mass spectrometer, sequencer), keywords and other provided annotations. In addition, we present two different libraries in R and Python to facilitate the development of tools that can programmatically interact with the OmicsDI REST interface.