Results 51 to 60 of about 426,507 (329)
Ontological Realism and Classification: Structures and Concepts in the Gene Ontology [PDF]
, 2014 The Gene Ontology (GO), a scientific vocabulary widely used in molecular biology databases, is examined by an analysis of its structure, a comparison of its principles to those of traditional controlled vocabularies, and by a detailed analysis of a ...
Ashburner +44 more
core +1 more source
BMC Genomics, 2010 Background There is increasing evidence that gene location and surrounding genes influence the functionality of genes in the eukaryotic genome. Knowing the Gene Ontology Slim terms associated with a gene gives us insight into a gene's functionality by ...
Tsatsoulis Costas, Amthauer Heather A
doaj +1 more source
Wormbase Curation Interfaces and Tools [PDF]
, 2010 Curating biological information from the published literature can be time- and labor-intensive especially without automated tools. WormBase1 has adopted several curation interfaces and tools, most of which were built in-house, to help curators recognize
Xiaodong Wang
core +2 more sources
InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk
BMC Genomics, 2018 Background Since the establishment of the first biomedical ontology Gene Ontology (GO), the number of biomedical ontology has increased dramatically. Nowadays over 300 ontologies have been built including extensively used Disease Ontology (DO) and Human ...
Liang Cheng +6 more
doaj +1 more source
Grid technology for collaborative ontology development [PDF]
, 2009 In contrast with the centrally-organised curation of the Gene Ontology, many biological ontologies are developed by loosely-organised groups who develop their ontology remotely.
Jonathan Bard +2 more
core +2 more sources
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Multi-label literature classification based on the Gene Ontology graph
BMC Bioinformatics, 2008 Background The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of ...
Lu Xinghua +3 more
doaj +1 more source
Quality of computationally inferred gene ontology annotations. [PDF]
PLoS Computational Biology, 2012 Gene Ontology (GO) has established itself as the undisputed standard for protein function annotation. Most annotations are inferred electronically, i.e. without individual curator supervision, but they are widely considered unreliable.
Nives Skunca +2 more
doaj +1 more source
Inferring gene ontologies from pairwise similarity data. [PDF]
, 2014 MotivationWhile the manually curated Gene Ontology (GO) is widely used, inferring a GO directly from -omics data is a compelling new problem. Recognizing that ontologies are a directed acyclic graph (DAG) of terms and hierarchical relations, algorithms ...
Bafna, Vineet +4 more
core +2 more sources
The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology [PDF]
Nucleic Acids Research, 2004 The Gene Ontology Annotation (GOA) database (http://www.ebi.ac.uk/GOA) aims to provide high-quality electronic and manual annotations to the UniProt Knowledgebase (Swiss-Prot, TrEMBL and PIR-PSD) using the standardized vocabulary of the Gene Ontology (GO).
Michele Magrane +9 more
openaire +3 more sources