Literature DB >> 15972001

Who tangos with GOA?-Use of Gene Ontology Annotation (GOA) for biological interpretation of '-omics' data and for validation of automatic annotation tools.

Vivian Lee1, Evelyn Camon, Emily Dimmer, Daniel Barrell, Rolf Apweiler.   

Abstract

The number of large-scale experimental datasets generated from high-throughput technologies has grown rapidly. Biological knowledge resources such as the Gene Ontology Annotation (GOA) database, which provides high-quality functional annotation to proteins within the UniProt Knowledgebase, can play an important role in the analysis of such data. The integration of GOA with analytical tools has proved to aid the clustering, annotation and biological interpretation of such large expression datasets. GOA is also useful in the development and validation of automated annotation tools, in particular text-mining systems. The increasing interest in GOA highlights the great potential of this freely available resource to assist both the biological research and bioinformatics communities.

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Year:  2005        PMID: 15972001

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  6 in total

1.  Towards fully automated structure-based function prediction in structural genomics: a case study.

Authors:  James D Watson; Steve Sanderson; Alexandra Ezersky; Alexei Savchenko; Aled Edwards; Christine Orengo; Andrzej Joachimiak; Roman A Laskowski; Janet M Thornton
Journal:  J Mol Biol       Date:  2007-01-30       Impact factor: 5.469

Review 2.  Computational approaches to phenotyping: high-throughput phenomics.

Authors:  Yves A Lussier; Yang Liu
Journal:  Proc Am Thorac Soc       Date:  2007-01

3.  Combining evidence, specificity, and proximity towards the normalization of Gene Ontology terms in text.

Authors:  S Gaudan; A Jimeno Yepes; V Lee; D Rebholz-Schuhmann
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008

4.  Some remarks on protein attribute prediction and pseudo amino acid composition.

Authors:  Kuo-Chen Chou
Journal:  J Theor Biol       Date:  2010-12-17       Impact factor: 2.691

5.  Rapid annotation of anonymous sequences from genome projects using semantic similarities and a weighting scheme in gene ontology.

Authors:  Paolo Fontana; Alessandro Cestaro; Riccardo Velasco; Elide Formentin; Stefano Toppo
Journal:  PLoS One       Date:  2009-02-27       Impact factor: 3.240

6.  Omics-based analyses revealed metabolic responses of Clostridium acetobutylicum to lignocellulose-derived inhibitors furfural, formic acid and phenol stress for butanol fermentation.

Authors:  Huanhuan Liu; Jing Zhang; Jian Yuan; Xiaolong Jiang; Lingyan Jiang; Guang Zhao; Di Huang; Bin Liu
Journal:  Biotechnol Biofuels       Date:  2019-04-27       Impact factor: 6.040

  6 in total

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