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SuRFing the genomics wave: an R package for prioritising SNPs by functionality.


ABSTRACT: Identifying functional non-coding variants is one of the greatest unmet challenges in genetics. To help address this, we introduce an R package, SuRFR, which integrates functional annotation and prior biological knowledge to prioritise candidate functional variants. SuRFR is publicly available, modular, flexible, fast, and simple to use. We demonstrate that SuRFR performs with high sensitivity and specificity and provide a widely applicable and scalable benchmarking dataset for model training and validation. Website: http://www.cgem.ed.ac.uk/resources/

SUBMITTER: Ryan NM 

PROVIDER: S-EPMC4224693 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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SuRFing the genomics wave: an R package for prioritising SNPs by functionality.

Ryan Niamh M NM   Morris Stewart W SW   Porteous David J DJ   Taylor Martin S MS   Evans Kathryn L KL  

Genome medicine 20141014 10


Identifying functional non-coding variants is one of the greatest unmet challenges in genetics. To help address this, we introduce an R package, SuRFR, which integrates functional annotation and prior biological knowledge to prioritise candidate functional variants. SuRFR is publicly available, modular, flexible, fast, and simple to use. We demonstrate that SuRFR performs with high sensitivity and specificity and provide a widely applicable and scalable benchmarking dataset for model training an  ...[more]

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