Ontology highlight
ABSTRACT:
SUBMITTER: Shihab HA
PROVIDER: S-EPMC4426838 | biostudies-other | 2015 May
REPOSITORIES: biostudies-other
Bioinformatics (Oxford, England) 20150111 10
<h4>Motivation</h4>Technological advances have enabled the identification of an increasingly large spectrum of single nucleotide variants within the human genome, many of which may be associated with monogenic disease or complex traits. Here, we propose an integrative approach, named FATHMM-MKL, to predict the functional consequences of both coding and non-coding sequence variants. Our method utilizes various genomic annotations, which have recently become available, and learns to weight the sig ...[more]