Back to search

Article

The systematic assessment of completeness of public metadata accompanying omics studies in the Gene Expression Omnibus

2021-11-23

Abstract excerpt

Recent advances in high-throughput sequencing technologies have made it possible to collect and share a massive amount of omics data, along with its associated metadata. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibil...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2f893697-0467-5244-b34c-834e0e7ee528
DOI
10.1101/2021.11.22.469640
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The systematic assessment of completeness of public metadata accompanying omics studies in the Gene Expression OmnibusDOI 10.1101/2021.11.22.469640
Large-scale Manual Curation and Harmonization of Metadata from Metagenomic and Cancer Genomic Repositories: Challenges and SolutionsSemantic proximity
RD-OMICS: An Integrative Multi-Omics Data Inventory in Rare DiseasesSemantic proximity
FAIRness assessment of the metadata of omics datasets in online repositoriesSemantic proximity
Most published human disease RNA-seq cannot be uniformly reanalyzed: a population-scale audit of reprocessability in the Gene Expression OmnibusSemantic proximity
MetaSRA: normalized sample-specific metadata for the Sequence Read ArchiveSemantic proximity
Developing a standardized but extendable framework to increase the findability of infectious disease datasetsSemantic proximity
The Rise of Open Data Practices Among Bioscientists at the University of EdinburghSemantic proximity
Matching data references and institutional output to map the reuse of biomedical research dataSemantic proximity
Matching data references and institutional output to map the reuse of biomedical research dataSemantic proximity
Matching data references and institutional output to map the reuse of biomedical research dataSemantic proximity
CZ CELL×GENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated dataSemantic proximity
Interpreting and integrating big data in the life sciencesSemantic proximity
Select a neighboring publication to make it the new centre.