BoG2013VariationPoster: Difference between revisions
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The simple user interface will also provide several options for filtering variants based on annotations. A link to an advanced user interface will enable sophisticated users to add annotation sources from the full database. | The simple user interface will also provide several options for filtering variants based on annotations. A link to an advanced user interface will enable sophisticated users to add annotation sources from the full database. | ||
==Common | ==Common Gene Haplotype Alleles== | ||
See the [http://hgwdev-demo3.cse.ucsc.edu/cgi-bin/hgTracks?hgS_doOtherUser=submit&hgS_otherUserName=Rhead&hgS_otherUserSessionName=BoG2013VariationPoster development version]. Click on any protein coding gene in the UCSC Genes track and scroll to the '''Common Gene Haplotype Alleles''' section. The feature is currently implemented only on GRCh37/hg19 protein-coding genes. | See the [http://hgwdev-demo3.cse.ucsc.edu/cgi-bin/hgTracks?hgS_doOtherUser=submit&hgS_otherUserName=Rhead&hgS_otherUserSessionName=BoG2013VariationPoster development version]. Click on any protein coding gene in the UCSC Genes track and scroll to the '''Common Gene Haplotype Alleles''' section. The feature is currently implemented only on GRCh37/hg19 protein-coding genes. | ||
Revision as of 23:09, 22 April 2013
This page contains links related to the UCSC Genome Browser poster presented by Brooke Rhead at Biology of Genomes 2013 [1])
Poster: New variation resources at the UCSC Genome Browser
This poster presents a first look at two new Genome Browser features for assessing variation. Both features will be released to the public website in the upcoming months.
- Files: .pptx, PDF
Variant Annotation Integrator
See the development version.
In order to assist researchers in annotating and prioritizing thousands of variant calls from sequencing projects, we are developing the Variant Annotation Integrator (VAI) and anticipate a first public release by the end of June 2013. There are several existing tools that can annotate variant calls with predicted functional effects on protein-coding genes and regulatory regions, for example Ensembl's Variant Effect Predictor (VEP). However, these tools are usually restricted to one or two sources of gene annotations and a limited set of additional annotation sources. The VAI will offer much broader choices from the full UCSC database and user-provided custom tracks.
The first release of the VAI will include a simple user interface for selecting variants to annotate as well as the most commonly used annotation sources: protein-coding genes, regulatory regions, predictions from tools such as SIFT and PolyPhen2 provided by the Database of Non-Synonymous Functional Predictions (dbNSFP), and already-discovered variants from dbSNP. The simple user interface will also provide several options for filtering variants based on annotations. A link to an advanced user interface will enable sophisticated users to add annotation sources from the full database.
Common Gene Haplotype Alleles
See the development version. Click on any protein coding gene in the UCSC Genes track and scroll to the Common Gene Haplotype Alleles section. The feature is currently implemented only on GRCh37/hg19 protein-coding genes.
How to get help
- Search for answers in our mail list archives: http://genome.ucsc.edu/contacts.html
- Email a new question to our actively monitored list genome@soe.ucsc.edu
- OpenHelix's free training materials: http://www.openhelix.com/downloads/ucsc/ucsc_home.shtml
Other posters about the UCSC Genome Browser
- Using the UCSC Genome Browser to evaluate putative genetic variants. Hinrichs AS et al. Biology of Genomes, 2012. genomewiki page .pptx, PDF
- Visually integrating genomic data in the UCSC Genome Browser. Hinrichs AS et al. HGV 2011. genomewiki page .pptx, PDF
- UCSC Genome Browser Data Hubs. Zweig AS et al. Biology of Genomes, 2011. PDF
- Genome-wide ENCODE Data at UCSC. Rosenbloom KR et al. ASHG, 2010. PPT
- UCSC Genome Browser Tool Suite. Hinrichs AS et al. Genomics of Common Disease, 2008: .ppt, PDF
- More Presentations
