Literature DB >> 19577473

Applying the Gene Ontology in microbial annotation.

Michelle G Giglio1, Candace W Collmer, Jane Lomax, Amelia Ireland.   

Abstract

The ever-increasing number of microbial sequencing projects necessitates a standardized system for the capture of genomic data to ensure that the flood of information produced can be effectively utilized. The Gene Ontology (GO) provides the standard for gene product annotations in the areas of molecular function, biological process and cellular component. A recent effort by the Plant-Associated Microbe Gene Ontology (PAMGO) Consortium has produced more than 800 new GO terms specific for annotating interactions between microbes and their hosts and other symbiotic interactions. In addition, there have been changes and additions to the GO annotation format and evidence storage system to reflect the needs of the microbial annotation community. The capture of annotation information with systems like the GO is absolutely essential to enable the efficient mining of annotation information across diverse genomes and thus to further biological research in meaningful ways.

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Year:  2009        PMID: 19577473     DOI: 10.1016/j.tim.2009.04.003

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  10 in total

Review 1.  Unifying themes in microbial associations with animal and plant hosts described using the gene ontology.

Authors:  Trudy Torto-Alalibo; Candace W Collmer; Michelle Gwinn-Giglio; Magdalen Lindeberg; Shaowu Meng; Marcus C Chibucos; Tsai-Tien Tseng; Jane Lomax; Bryan Biehl; Amelia Ireland; David Bird; Ralph A Dean; Jeremy D Glasner; Nicole Perna; Joao C Setubal; Alan Collmer; Brett M Tyler
Journal:  Microbiol Mol Biol Rev       Date:  2010-12       Impact factor: 11.056

Review 2.  High-throughput protein purification and quality assessment for crystallization.

Authors:  Youngchang Kim; Gyorgy Babnigg; Robert Jedrzejczak; William H Eschenfeldt; Hui Li; Natalia Maltseva; Catherine Hatzos-Skintges; Minyi Gu; Magdalena Makowska-Grzyska; Ruiying Wu; Hao An; Gekleng Chhor; Andrzej Joachimiak
Journal:  Methods       Date:  2011-08-31       Impact factor: 3.608

3.  Whole-genome metabolic network reconstruction and constraint-based modeling.

Authors:  Charles R Haggart; Jennifer A Bartell; Jeffrey J Saucerman; Jason A Papin
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

4.  HDAPD: a web tool for searching the disease-associated protein structures.

Authors:  Yi-Ruen Lin; Hsin-Yuan Wei; Tsung-Lin Tsai; Thy-Hou Lin
Journal:  BMC Bioinformatics       Date:  2010-02-17       Impact factor: 3.169

5.  Gene ontology function prediction in mollicutes using protein-protein association networks.

Authors:  Antonio Gómez; Juan Cedano; Isaac Amela; Antoni Planas; Jaume Piñol; Enrique Querol
Journal:  BMC Syst Biol       Date:  2011-04-12

6.  Exploring virus relationships based on virus-host protein-protein interaction network.

Authors:  Feng Xu; Chen Zhao; Yuhua Li; Jiang Li; Youping Deng; Tieliu Shi
Journal:  BMC Syst Biol       Date:  2011-12-23

7.  Conceptualization of molecular findings by mining gene annotations.

Authors:  Vicky Chen; Xinghua Lu
Journal:  BMC Proc       Date:  2013-12-20

8.  Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO).

Authors:  Jolene Ramsey; Brenley McIntosh; Daniel Renfro; Suzanne A Aleksander; Sandra LaBonte; Curtis Ross; Adrienne E Zweifel; Nathan Liles; Shabnam Farrar; Jason J Gill; Ivan Erill; Sarah Ades; Tanya Z Berardini; Jennifer A Bennett; Siobhan Brady; Robert Britton; Seth Carbon; Steven M Caruso; Dave Clements; Ritu Dalia; Meredith Defelice; Erin L Doyle; Iddo Friedberg; Susan M R Gurney; Lee Hughes; Allison Johnson; Jason M Kowalski; Donghui Li; Ruth C Lovering; Tamara L Mans; Fiona McCarthy; Sean D Moore; Rebecca Murphy; Timothy D Paustian; Sarah Perdue; Celeste N Peterson; Birgit M Prüß; Margaret S Saha; Robert R Sheehy; John T Tansey; Louise Temple; Alexander William Thorman; Saul Trevino; Amy Cheng Vollmer; Virginia Walbot; Joanne Willey; Deborah A Siegele; James C Hu
Journal:  PLoS Comput Biol       Date:  2021-10-28       Impact factor: 4.779

9.  Representing virus-host interactions and other multi-organism processes in the Gene Ontology.

Authors:  R E Foulger; D Osumi-Sutherland; B K McIntosh; C Hulo; P Masson; S Poux; P Le Mercier; J Lomax
Journal:  BMC Microbiol       Date:  2015-07-28       Impact factor: 3.605

10.  Proteomic comparison of Ralstonia solanacearum strains reveals temperature dependent virulence factors.

Authors:  Ana M Bocsanczy; Ute C M Achenbach; Arianna Mangravita-Novo; Marjorie Chow; David J Norman
Journal:  BMC Genomics       Date:  2014-04-12       Impact factor: 3.969

  10 in total

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