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The Vision and Challenges of the Gene Ontology [PDF]
, 2016 The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and biomedicine with all current functional information concerning genes and the cellular context under which these occur. When the GO was started in the 1990s surprisingly little attention had been given to how functional information about genes was to be ...
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Comparing Relational and Ontological Triple Stores in Healthcare Domain
Entropy, 2017 Today’s technological improvements have made ubiquitous healthcare systems that converge into smart healthcare applications in order to solve patients’ problems, to communicate effectively with patients, and to improve healthcare service quality.
Ozgu Can +3 more
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Discovering gene annotations in biomedical text databases
BMC Bioinformatics, 2008 Background Genes and gene products are frequently annotated with Gene Ontology concepts based on the evidence provided in genomics articles. Manually locating and curating information about a genomic entity from the biomedical literature requires vast ...
Ozsoyoglu Gultekin, Cakmak Ali
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Mining functional gene modules by multi-view NMF of phenome-genome association
BMC GenomicsBackground Mining functional gene modules from genomic data is an important step to detect gene members of pathways or other relations such as protein-protein interactions.
Xu Jin +8 more
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A gene-phenotype network for the laboratory mouse and its implications for systematic phenotyping.
PLoS ONE, 2011 The laboratory mouse is the pre-eminent model organism for the dissection of human disease pathways. With the advent of a comprehensive panel of gene knockouts, projects to characterise the phenotypes of all knockout lines are being initiated.
Octavio Espinosa, John M Hancock
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Semantic Similarity in the Gene Ontology [PDF]
, 2016 Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS measures based on GO has grown considerably, and their application ranges from functional coherence ...
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Biomedical ontologies and their development, management, and applications in and beyond China
Journal of Bio-X Research, 2019 . Since the boom of biomedical big data studies, various big data processing technologies have been developed rapidly. As an important form of knowledge representation, ontology has become an important means for the utilization and integration of ...
Hongjie Pan +6 more
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Functional abstraction as a method to discover knowledge in gene ontologies.
PLoS ONE, 2014 Computational analyses of functions of gene sets obtained in microarray analyses or by topical database searches are increasingly important in biology. To understand their functions, the sets are usually mapped to Gene Ontology knowledge bases by means ...
Alfred Ultsch, Jörn Lötsch
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Gene Ontology: Pitfalls, Biases, and Remedies [PDF]
, 2016 The Gene Ontology (GO) is a formidable resource but there are several considerations about it that are essential to understand the data and interpret it correctly. The GO is sufficiently simple that it can be used without deep understanding of its structure or how it is developed, which is both a strength and a weakness.
Gaudet, P, Dessimoz, C
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Gene ontology for genomics and biology
Бюллетень сибирской медициныThe aim of the lecture was to consider the role of gene ontology (GO) and the GO Consortium in shaping the knowledge base for genomics, proteomics, and biology. GO organizes and continually updates data on the molecular functions and biological processes
N. Yu. Chasovskikh
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