Literature DB >> 17208035

Ontology annotation: mapping genomic regions to biological function.

Paul D Thomas1, Huaiyu Mi, Suzanna Lewis.   

Abstract

With numerous whole genomes now in hand, and experimental data about genes and biological pathways on the increase, a systems approach to biological research is becoming essential. Ontologies provide a formal representation of knowledge that is amenable to computational as well as human analysis, an obvious underpinning of systems biology. Mapping function to gene products in the genome consists of two, somewhat intertwined enterprises: ontology building and ontology annotation. Ontology building is the formal representation of a domain of knowledge; ontology annotation is association of specific genomic regions (which we refer to simply as 'genes', including genes and their regulatory elements and products such as proteins and functional RNAs) to parts of the ontology. We consider two complementary representations of gene function: the Gene Ontology (GO) and pathway ontologies. GO represents function from the gene's eye view, in relation to a large and growing context of biological knowledge at all levels. Pathway ontologies represent function from the point of view of biochemical reactions and interactions, which are ordered into networks and causal cascades. The more mature GO provides an example of ontology annotation: how conclusions from the scientific literature and from evolutionary relationships are converted into formal statements about gene function. Annotations are made using a variety of different types of evidence, which can be used to estimate the relative reliability of different annotations.

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Year:  2007        PMID: 17208035     DOI: 10.1016/j.cbpa.2006.11.039

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  33 in total

1.  Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans.

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2.  Ontological evaluation of transcriptional differences between sperm of infertile males and fertile donors using microarray analysis.

Authors:  Sandra García-Herrero; Nicolás Garrido; José Antonio Martínez-Conejero; José Remohí; Antonio Pellicer; Marcos Meseguer
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3.  Incorporating genomics into the toolkit of nematology.

Authors:  Adler R Dillman; Ali Mortazavi; Paul W Sternberg
Journal:  J Nematol       Date:  2012-06       Impact factor: 1.402

4.  Androgen receptor-deficient islet β-cells exhibit alteration in genetic markers of insulin secretion and inflammation. A transcriptome analysis in the male mouse.

Authors:  Weiwei Xu; Tianhua Niu; Beibei Xu; Guadalupe Navarro; Matthew J Schipma; Franck Mauvais-Jarvis
Journal:  J Diabetes Complications       Date:  2017-03-09       Impact factor: 2.852

5.  Discovery of complex pathways from observational data.

Authors:  James W Baurley; David V Conti; W James Gauderman; Duncan C Thomas
Journal:  Stat Med       Date:  2010-08-30       Impact factor: 2.373

6.  Identification of key genes fluctuated induced by avian leukemia virus (ALV-J) infection in chicken cells.

Authors:  Guohong Chen; Zhiteng Li; Shuai Su; Guobin Chang; Lingling Qiu; Pengfei Zhu; Yang Zhang; Qi Xu
Journal:  In Vitro Cell Dev Biol Anim       Date:  2017-12-01       Impact factor: 2.416

Review 7.  Bioinformatic approaches to metabolic pathways analysis.

Authors:  Stuart Maudsley; Wayne Chadwick; Liyun Wang; Yu Zhou; Bronwen Martin; Sung-Soo Park
Journal:  Methods Mol Biol       Date:  2011

Review 8.  Complex system approaches to genetic analysis Bayesian approaches.

Authors:  Melanie A Wilson; James W Baurley; Duncan C Thomas; David V Conti
Journal:  Adv Genet       Date:  2010       Impact factor: 1.944

9.  The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species.

Authors: 
Journal:  PLoS Comput Biol       Date:  2009-07-03       Impact factor: 4.475

10.  Two plant viral suppressors of silencing require the ethylene-inducible host transcription factor RAV2 to block RNA silencing.

Authors:  Matthew W Endres; Brian D Gregory; Zhihuan Gao; Amy Wahba Foreman; Sizolwenkosi Mlotshwa; Xin Ge; Gail J Pruss; Joseph R Ecker; Lewis H Bowman; Vicki Vance
Journal:  PLoS Pathog       Date:  2010-01-15       Impact factor: 6.823

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