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Bioinformatics. 2015 Apr 15;31(8):1334-6. doi: 10.1093/bioinformatics/btu779. Epub 2014 Nov 26.

SNiPA: an interactive, genetic variant-centered annotation browser.

Author information

1
Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany and Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar.
2
Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany and Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany and Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar.

Abstract

MOTIVATION:

Linking genes and functional information to genetic variants identified by association studies remains difficult. Resources containing extensive genomic annotations are available but often not fully utilized due to heterogeneous data formats. To enhance their accessibility, we integrated many annotation datasets into a user-friendly webserver.

AVAILABILITY AND IMPLEMENTATION:

http://www.snipa.org/

CONTACT:

g.kastenmueller@helmholtz-muenchen.de

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
25431330
PMCID:
PMC4393511
DOI:
10.1093/bioinformatics/btu779
[Indexed for MEDLINE]
Free PMC Article

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