Protein annotation from protein interaction networks and Gene Ontology
نویسندگان
چکیده
منابع مشابه
Identification and prioritization genes related to Hypercholesterolemia QTLs using gene ontology and protein interaction networks
Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...
متن کاملidentification and prioritization genes related to hypercholesterolemia qtls using gene ontology and protein interaction networks
gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. hypercholesterolemia is a quantitativ...
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MOTIVATION Progress in large-scale experimental determination of protein-protein interaction networks for several organisms has resulted in innovative methods of functional inference based on network connectivity. However, the amount of effort and resources required for the elucidation of experimental protein interaction networks is prohibitive. Previously we, and others, have developed techniq...
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Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...
متن کاملLarge-scale protein annotation through gene ontology.
Recent progress in genomic sequencing, computational biology, and ontology development has presented an opportunity to investigate biological systems from a unique perspective, that is, examining genomes and transcriptomes through the multiple and hierarchical structure of Gene Ontology (GO). We report here our development of GO Engine, a computational platform for GO annotation, and analysis o...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2011
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2011.04.010