ReviewDatabase : the journal of biological databases and curation2015
Ontology application and use at the ENCODE DCC.
Review in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Making genomic data FAIR through effective Data Portals.Scientific data · 2025Article
- Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI).Journal of biomedical semantics · 2024Article
- Challenges to sharing sample metadata in computational genomics.Frontiers in genetics · 2023Article
- A new framework for host-pathogen interaction research.Frontiers in immunology · 2022Article
- Linking big biomedical datasets to modular analysis with Portable Encapsulated Projects.GigaScience · 2021Article
- Leveraging the Cell Ontology to classify unseen cell types.Nature communications · 2021Article
- Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research.Briefings in functional genomics · 2021Article
- Human methylome variation across Infinium 450K data on the Gene Expression Omnibus.NAR genomics and bioinformatics · 2021Article
- CTD Anatomy: analyzing chemical-induced phenotypes and exposures from an anatomical perspective, with implications for environmental health studies.Current research in toxicology · 2021Article
- Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.Nature reviews. Nephrology · 2020Review
- New developments on the Encyclopedia of DNA Elements (ENCODE) data portal.Nucleic acids research · 2020Article
- Annot: a Django-based sample, reagent, and experiment metadata tracking system.BMC bioinformatics · 2019Article
- ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions.BMC bioinformatics · 2019Article
- Identification of molecular signatures of cystic fibrosis disease status with plasma-based functional genomics.Physiological genomics · 2019Article
- The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.Journal of biomedical semantics · 2018Review
- Cell type discovery and representation in the era of high-content single cell phenotyping.BMC bioinformatics · 2017Article
- Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in China.Scientific reports · 2017Article
- MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive.Bioinformatics (Oxford, England) · 2017Article
- Long noncoding RNA NBAT1 negatively modulates growth and metastasis of osteosarcoma cells through suppression of miR-21.American journal of cancer research · 2017Article
- Evaluation of the role of downregulation of SNF5/INI1 core subunit of SWI/SNF complex in clear cell renal cell carcinoma development.American journal of cancer research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a catalog of genomic annotations. To date, the project has generated over 4000 experiments across more than 350 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure, regulatory network and transcriptional landscape of the Homo sapiens and Mus musculus genomes. All ENCODE experimental data, metadata and associated computational analyses are submitted to the ENCODE Data Coordination Center (DCC) for validation, tracking, storage and distribution to community resources and the scientific community. As the volume of data increases, the organization of experimental details becomes increasingly complicated and demands careful curation to identify related experiments. Here, we describe the ENCODE DCC's use of ontologies to standardize experimental metadata. We discuss how ontologies, when used to annotate metadata, provide improved searching capabilities and facilitate the ability to find connections within a set of experiments. Additionally, we provide examples of how ontologies are used to annotate ENCODE metadata and how the annotations can be identified via ontology-driven searches at the ENCODE portal. As genomic datasets grow larger and more interconnected, standardization of metadata becomes increasingly vital to allow for exploration and comparison of data between different scientific projects.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.