Affordable Access

Access to the full text

The UCSC Genome Browser database: extensions and updates 2011.

Authors
  • Tr, Dreszer
  • D, Karolchik
  • As, Zweig
  • As, Hinrichs
  • Bj, Raney
  • Rm, Kuhn
  • Lr, Meyer
  • M, Wong
  • Ca, Sloan
  • Kr, Rosenbloom
  • G, Roe
  • B, Rhead
  • A, Pohl
  • Vs, Malladi
  • Ch, Li
  • K, Learned
  • V, Kirkup
  • F, Hsu
  • Ra, Harte
  • L, Guruvadoo
  • And 9 more
Type
Published Article
Journal
Nucleic Acids Research
Publisher
Oxford University Press
Publication Date
Nov 26, 2011
Volume
40
Issue
Database issue
Pages
918–923
Identifiers
DOI: 10.1093/nar/gkr1055
PMID: 22086951
PMCID: PMC3245018
Source
UCSC Bioinformatics biomedical-ucsc
License
Green

Abstract

The University of California Santa Cruz Genome Browser (http://genome.ucsc.edu) offers online public access to a growing database of genomic sequence and annotations for a wide variety of organisms. The Browser is an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic data sets. In the past year, the local database has been updated with four new species assemblies, and we anticipate another four will be released by the end of 2011. Further, a large number of annotation tracks have been either added, updated by contributors, or remapped to the latest human reference genome. Among these are new phenotype and disease annotations, UCSC genes, and a major dbSNP update, which required new visualization methods. Growing beyond the local database, this year we have introduced track data hubs , which allow the Genome Browser to provide access to remotely located sets of annotations. This feature is designed to significantly extend the number and variety of annotation tracks that are publicly available for visualization and analysis from within our site. We have also introduced several usability features including track search and a context-sensitive menu of options available with a right-click anywhere on the Browser s image.

Report this publication

Statistics

Seen <100 times