[HTML][HTML] BioHackathon 2015: Semantics of data for life sciences and reproducible research

RA Vos, T Katayama, H Mishima, S Kawano… - …, 2020 - ncbi.nlm.nih.gov
… in the life sciences 2 , including ontologies and Linked Open Data (… linked data using
Semantic Web and LOD approaches and the linking of the annotated literature with the linked data

[PDF][PDF] BioHackathon 2015: Semantics of data for life sciences an d reproducible research [version 1; peer review: 2 approved]

RA Vos, T Katayama, H Mishima, S Kawano… - f1000research.com
… the life sciences2, including ontologies and Linked Open Data … While these technologies are
useful for life sciences research, … technologies including ontologies and Linked Data enable …

The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application

I Yamada, MP Campbell, N Edwards, LJ Castro… - …, 2021 - academic.oup.com
… of a glycoconjugate but also its linked data and annotation such as … of ontologies and
databases based on an agreed standard for glycoconjugates, a large proportion of life science data

[PDF][PDF] BioHackathon 2015: Semantics of data for life sciences and

RA Vos, T Katayama, H Mishima, S Kawano… - academia.edu
… the life sciences2, including ontologies and Linked Open Data … While these technologies are
useful for life sciences research, … technologies including ontologies and Linked Data enable …

Easy semantification of bioassays

M Anteghini, J D'Souza, VAPM dos Santos… - … Conference of the Italian …, 2021 - Springer
… their data available as Linked Data in which both biological … , many recent interdisciplinary
data collection and annotation … text based on the Life Sciences ontologies. Eg, instructional …

GlycoPOST realizes FAIR principles for glycomics mass spectrometry data

Y Watanabe, KF Aoki-Kinoshita… - Nucleic acids …, 2021 - academic.oup.com
… ), by increasing the use of ontologies in GlycoPOST in the future … (RDF) data model, it should
become possible to integrate the data in … of ontology and linked data in life science domains …

STO: Stroke Ontology for Accelerating Translational Stroke Research

M Habibi-Koolaee, L Shahmoradi… - Neurology and …, 2021 - Springer
… of huge data sets and patient health records in Alzheimer’s disease, multiple sclerosis,
and stroke [25]. In addition to these ontologies, we used some top-level ontologies to define …

[PDF][PDF] Easy Semantification of Bioassays

VAPM dos Santos, S Auer - researchgate.net
Biohackathon series in 2011 and 2012: penetration of ontology and linked data in life science
domains. Journal of biomedical semantics 5(1), 1–13 (2014) 24. Kononova, O., Huo, H., He…

CSDB_GT, a curated glycosyltransferase database with close-to-full coverage on three most studied nonanimal species

KS Egorova, NS Smirnova, PV Toukach - Glycobiology, 2021 - academic.oup.com
… of natural sciences, especially those concerning biological molecules. Ideally, a database
provides the best means of storage, arrangement and access to all types of data. However, its …

Drug-drug interactions prediction based on deep learning and knowledge graph: A review

H Luo, W Yin, J Wang, G Zhang, W Liang, J Luo, C Yan - Iscience, 2024 - cell.com
… • Bio2RDF[43] is an open knowledge graph that uses Semantic Web technologies to
build and provide the largest network of Linked Data for the Life Sciences, which contains …