Results 91 to 100 of about 764,785 (295)
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Cells in experimental life sciences - challenges and solution to the rapid evolution of knowledge
BMC Bioinformatics, 2017 Cell cultures used in biomedical experiments come in the form of both sample biopsy primary cells, and maintainable immortalised cell lineages. The rise of bioinformatics and high-throughput technologies has led us to the requirement of ontology ...
Sirarat Sarntivijai +2 more
doaj +1 more source
Obstacles to the reuse of study metadata in ClinicalTrials.gov
Scientific Data, 2020 Metadata that are structured using principled schemas and that use terms from ontologies are essential to making biomedical data findable and reusable for downstream analyses.
Laura Miron +2 more
doaj +1 more source
Symbolic modeling of structural relationships in the Foundational Model of Anatomy [PDF]
, 2004 The need for a sharable resource that can provide deep anatomical knowledge and support inference for biomedical applications has recently been the driving force in the creation of biomedical ontologies.
Mejino, Jose L V, Rosse, Cornelius
core +1 more source
Partitioning and local matching learning of large biomedical ontologies
ACM Symposium on Applied Computing, 2019 Conventional ontology matching systems are not well-tailored to ensure sufficient quality alignments for large ontology matching tasks. In this paper, we propose a local matching learning strategy to align large and complex biomedical ontologies.
A. Laadhar +5 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries
BMC Bioinformatics, 2006 Background With the vast amounts of biomedical data being generated by high-throughput analysis methods, controlled vocabularies and ontologies are becoming increasingly important to annotate units of information for ease of search and retrieval.
Apweiler Rolf +3 more
doaj +1 more source
Benchmarking ontologies: bigger or better? [PDF]
PLoS Computational Biology, 2011 A scientific ontology is a formal representation of knowledge within a domain, typically including central concepts, their properties, and relations. With the rise of computers and high-throughput data collection, ontologies have become essential to data
Lixia Yao +4 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.We measure the cell‐specific responses of administering infusible ECM (iECM) in acute myocardial infarction (MI) across multiple timepoints. Using single‐nucleus RNA sequencing and spatial transcriptomics, we measure macrophage activation, fibroblast remodeling, increased vascular development, lymphangiogenesis, cardioprotection, and neurogenesis ...
Joshua M. Mesfin +18 more
wiley +1 more source
Automatic annotation of bioinformatics workflows with biomedical ontologies
, 2014 Legacy scientific workflows, and the services within them, often present scarce and unstructured (i.e. textual) descriptions. This makes it difficult to find, share and reuse them, thus dramatically reducing their value to the community.
B. Smith +11 more
core +1 more source