<p>Funci{SNP}: integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs biOMICs+: easily integrate public &ldquo;OMICS&rdquo; data for functional study</p>

Simon Coetzee; Thais Sabedot; Tiago Chedraoui Silva; Gerhard Coetzee; Houtan Noushmehr

doi:10.7490/f1000research.1110817.1

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Coetzee S, Sabedot T, Silva TC et al. Funci{SNP}: integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs biOMICs+: easily integrate public “OMICS” data for functional study [version 1; not peer reviewed]. F1000Research 2015, 4:1081 (poster) (https://doi.org/10.7490/f1000research.1110817.1)

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Funci{SNP}: integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs biOMICs+: easily integrate public “OMICS” data for functional study

Simon Coetzee¹, Thais Sabedot, Tiago Chedraoui Silva, Gerhard Coetzee, Houtan Noushmehr²

Published 16 Oct 2015 (https://doi.org/10.7490/f1000research.1110817.1)

Author Affiliations

¹ Cedars-Sinai Medical Center, USA
² University of Sao Paulo, Brazil

Copyright © 2015 Coetzee S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 16 Oct 2015

Funci{SNP}: integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs biOMICs+: easily integrate public “OMICS” data for functional study
[version 1; not peer reviewed]

Simon Coetzee¹, Thais Sabedot, Tiago Chedraoui Silva, Gerhard Coetzee, Houtan Noushmehr²

Author Affiliations

¹ Cedars-Sinai Medical Center, USA
² University of Sao Paulo, Brazil

Presented at

BioC 2014

Abstract

Competing Interests

No competing interests were disclosed

Keywords

GWAS, SNP, Genomic Risk, Functional Genomics, Integration

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