Literature DB >> 20238074

Exploring the landscape of the genome.

Michael R Barnes1.   

Abstract

Genome browsers are powerful tools for biologists - offering fundamental information on genes, regulatory elements, genomic variants, genome structure, and evolution. The comprehensive range of information presented in tools such as the UCSC genome browser and Ensembl enables integrated queries of data that are otherwise reserved to the most skilled computational biologists. However, for the non-specialist user, the juxtaposition of so many different forms of data in one small space can be an information overload. Getting the most out of these tools requires some understanding of the key concepts and caveats of genome visualization and annotation. Genome analysis can be carried out at different levels of detail - at a macro level; it improves understanding of issues like genome structure and species evolution. While at a micro level, genome annotation can help to describe the full complexity of gene regulation, variation, and transcript diversity. Once demystified, it is clear that genome browsers are more than the sum of their parts - they are the most comprehensive portals available for browsing and analysis of biological data.

Mesh:

Year:  2010        PMID: 20238074     DOI: 10.1007/978-1-60327-367-1_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Exploration of plant genomes in the FLAGdb++ environment.

Authors:  Sandra Dèrozier; Franck Samson; Jean-Philippe Tamby; Cécile Guichard; Véronique Brunaud; Philippe Grevet; Séverine Gagnot; Philippe Label; Jean-Charles Leplé; Alain Lecharny; Sébastien Aubourg
Journal:  Plant Methods       Date:  2011-03-29       Impact factor: 4.993

2.  Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk.

Authors:  Helen R Warren; Evangelos Evangelou; Claudia P Cabrera; He Gao; Meixia Ren; Borbala Mifsud; Ioanna Ntalla; Praveen Surendran; Chunyu Liu; James P Cook; Aldi T Kraja; Fotios Drenos; Marie Loh; Niek Verweij; Jonathan Marten; Ibrahim Karaman; Marcelo P Segura Lepe; Paul F O'Reilly; Joanne Knight; Harold Snieder; Norihiro Kato; Jiang He; E Shyong Tai; M Abdullah Said; David Porteous; Maris Alver; Neil Poulter; Martin Farrall; Ron T Gansevoort; Sandosh Padmanabhan; Reedik Mägi; Alice Stanton; John Connell; Stephan J L Bakker; Andres Metspalu; Denis C Shields; Simon Thom; Morris Brown; Peter Sever; Tõnu Esko; Caroline Hayward; Pim van der Harst; Danish Saleheen; Rajiv Chowdhury; John C Chambers; Daniel I Chasman; Aravinda Chakravarti; Christopher Newton-Cheh; Cecilia M Lindgren; Daniel Levy; Jaspal S Kooner; Bernard Keavney; Maciej Tomaszewski; Nilesh J Samani; Joanna M M Howson; Martin D Tobin; Patricia B Munroe; Georg B Ehret; Louise V Wain
Journal:  Nat Genet       Date:  2017-01-30       Impact factor: 38.330

  2 in total

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