Correction: Comparative GO: A Web Application for Comparative Gene Ontology and Gene Ontology-Based Gene Selection in Bacteria

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Correction: Comparative GO: A Web Application for Comparative Gene Ontology and Gene Ontology-Based Gene Selection in Bacteria

UNLABELLED The primary means of classifying new functions for genes and proteins relies on Gene Ontology (GO), which defines genes/proteins using a controlled vocabulary in terms of their Molecular Function, Biological Process and Cellular Component. The challenge is to present this information to researchers to compare and discover patterns in multiple datasets using visually comprehensible an...

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The Gene Ontology (GO) project in 2006

The Gene Ontology (GO) project (http://www.geneontology.org) develops and uses a set of structured, controlled vocabularies for community use in annotating genes, gene products and sequences (also see http://song.sourceforge.net/). The GO Consortium continues to improve to the vocabulary content, reflecting the impact of several novel mechanisms of incorporating community input. A growing numbe...

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Gene Ontology (GO) Annotation in Biomedical Literature

In this paper, we propose an approach for doing Gene Ontology (GO) annotation on biomedical texts. The GO is an effort to create a controlled terminology for labelling gene functions in a more precise. Our system is based on the application of Parametrized Finite-State Graphs (P-FSG) for GO tagging. This process was implemented to the annotation of genes related with Alzehimer disease. This pro...

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Application of gene ontology to gene identification.

Candidate gene identification deals with associating genes to underlying biological phenomena, such as diseases and specific disorders. It has been shown that classes of diseases with similar phenotypes are caused by functionally related genes. Currently, a fair amount of knowledge about the functional characterization can be found across several public databases; however, functional descriptor...

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UNLABELLED The analysis of complex patterns of gene regulation is central to understanding the biology of cells, tissues and organisms. Patterns of gene regulation pertaining to specific biological processes can be revealed by a variety of experimental strategies, particularly microarrays and other highly parallel methods, which generate large datasets linking many genes. Although methods for d...

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ژورنال

عنوان ژورنال: PLOS ONE

سال: 2015

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0125537