Literature DB >> 21394829

WAVe: web analysis of the variome.

Pedro Lopes1, Raymond Dalgleish, José Luís Oliveira.   

Abstract

DNA sequence variation is the underlying basis of common human traits and rarer single-gene disorders. Understanding the variome, the variants in an individual's genome, is essential to enable the ultimate goals of personalized medicine. This critical research field has grown dramatically in recent years, mostly due to the spread and development of genotyping technologies. Despite these activities being promoted by the Human Genome Variation Society and projects such as the Human Variome Project or the European GEN2PHEN Project, variome data-integration systems are far from being widely used in the research community workflow. Most of ongoing research is focused on improving locus-specific databases. Although the quality and manual curation of LSDBs adds true value to this domain, they are often narrow, heterogeneous, and independent systems. This hampers data harmonization and interoperability between systems, stifling the aggregation of data from LSDBs and related data sources. A new platform entitled Web Analysis of the Variome, WAVe, is introduced. It offers direct and programmatic access to multiple locus-specific databases, with the integration of genetic variation datasets and enrichment with relevant information. WAVe's agile and innovative Web interface is accessible at http://bioinformatics.ua.pt/WAVe.
© 2011 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21394829     DOI: 10.1002/humu.21499

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  6 in total

1.  Reporting of Genetic Variants by Diagnostic Laboratories and other Centres.

Authors:  John-Paul Plazzer; Johan T den Dunnen; Timothy Smith; Finlay Macrae; Richard G Cotton
Journal:  Clin Biochem Rev       Date:  2012-02

Review 2.  Human genotype-phenotype databases: aims, challenges and opportunities.

Authors:  Anthony J Brookes; Peter N Robinson
Journal:  Nat Rev Genet       Date:  2015-11-10       Impact factor: 53.242

3.  Clarity and claims in variation/mutation databasing.

Authors:  Raymond Dalgleish; William S Oetting; Arleen D Auerbach; Jacques S Beckmann; Anne Cambon-Thomsen; Andrew Devereau; Marc S Greenblatt; George P Patrinos; Graham R Taylor; Mauno Vihinen; Anthony J Brookes
Journal:  Nat Biotechnol       Date:  2011-09-08       Impact factor: 54.908

4.  An automated real-time integration and interoperability framework for bioinformatics.

Authors:  Pedro Lopes; José Luís Oliveira
Journal:  BMC Bioinformatics       Date:  2015-10-13       Impact factor: 3.169

5.  VarioML framework for comprehensive variation data representation and exchange.

Authors:  Myles Byrne; Ivo Fac Fokkema; Owen Lancaster; Tomasz Adamusiak; Anni Ahonen-Bishopp; David Atlan; Christophe Béroud; Michael Cornell; Raymond Dalgleish; Andrew Devereau; George P Patrinos; Morris A Swertz; Peter Em Taschner; Gudmundur A Thorisson; Mauno Vihinen; Anthony J Brookes; Juha Muilu
Journal:  BMC Bioinformatics       Date:  2012-10-03       Impact factor: 3.169

6.  Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphology.

Authors:  Karin Voordeckers; Dries De Maeyer; Elisa van der Zande; Marcelo D Vinces; Wim Meert; Lore Cloots; Owen Ryan; Kathleen Marchal; Kevin J Verstrepen
Journal:  Mol Microbiol       Date:  2012-09-13       Impact factor: 3.501

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.