Literature DB >> 15975227

VEGA, the genome browser with a difference.

Jane Loveland1.   

Abstract

The Vertebrate Genome Annotation (Vega) database is a community resource for browsing manual annotation from a variety of vertebrate genomes of finished sequence (http://vega.sanger.ac.uk). Vega is different from other genome browsers as it has a standardised classification of genes which encompasses pseudogenes and non-coding transcripts. The data is manually curated, which is more accurate at identifying splice variants, pseudogenes poly(A) features, non-coding and complex gene structures and arrangements than current automated methods. The database also contains annotation from regions, not just whole genomes, and displays multiple species annotation (human, mouse, dog and zebrafish) for comparative analysis. Vega encourages community feedback that results in annotation updates and manual annotation of finished vertebrate sequence.

Entities:  

Mesh:

Year:  2005        PMID: 15975227     DOI: 10.1093/bib/6.2.189

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  8 in total

Review 1.  Online resources for SNP analysis: a review and route map.

Authors:  Christopher Phillips
Journal:  Mol Biotechnol       Date:  2007-01       Impact factor: 2.695

2.  Analysis of the zebrafish proteome during embryonic development.

Authors:  Margaret B Lucitt; Thomas S Price; Angel Pizarro; Weichen Wu; Anastasia K Yocum; Christoph Seiler; Michael A Pack; Ian A Blair; Garret A Fitzgerald; Tilo Grosser
Journal:  Mol Cell Proteomics       Date:  2008-01-22       Impact factor: 5.911

3.  Biological database of images and genomes: tools for community annotations linking image and genomic information.

Authors:  Andrew T Oberlin; Dominika A Jurkovic; Mitchell F Balish; Iddo Friedberg
Journal:  Database (Oxford)       Date:  2013-04-02       Impact factor: 3.451

4.  IMGT/3Dstructure-DB and IMGT/DomainGapAlign: a database and a tool for immunoglobulins or antibodies, T cell receptors, MHC, IgSF and MhcSF.

Authors:  François Ehrenmann; Quentin Kaas; Marie-Paule Lefranc
Journal:  Nucleic Acids Res       Date:  2009-11-09       Impact factor: 16.971

5.  Genome-wide meta-analysis of genetic susceptible genes for Type 2 Diabetes.

Authors:  Paul J Hale; Alfredo M López-Yunez; Jake Y Chen
Journal:  BMC Syst Biol       Date:  2012-12-17

Review 6.  The Ras-association domain family (RASSF) members and their role in human tumourigenesis.

Authors:  Louise van der Weyden; David J Adams
Journal:  Biochim Biophys Acta       Date:  2007-07-04

7.  Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments.

Authors:  Brian J Haas; Steven L Salzberg; Wei Zhu; Mihaela Pertea; Jonathan E Allen; Joshua Orvis; Owen White; C Robin Buell; Jennifer R Wortman
Journal:  Genome Biol       Date:  2008-01-11       Impact factor: 13.583

8.  A survey of tools for variant analysis of next-generation genome sequencing data.

Authors:  Stephan Pabinger; Andreas Dander; Maria Fischer; Rene Snajder; Michael Sperk; Mirjana Efremova; Birgit Krabichler; Michael R Speicher; Johannes Zschocke; Zlatko Trajanoski
Journal:  Brief Bioinform       Date:  2013-01-21       Impact factor: 11.622

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.