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Updated: May 30, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
In silico analysis of the exome for gene discovery
Marcus Hinchcliffe1, Paul Webster
1Department of Molecular and Clinical Genetics, Royal Prince Alfred Hospital, The University of Sydney, Camperdown, NSW, Australia. mhin9872@uni.sydney.edu.au
Abstract:
Here we describe a bioinformatic strategy for extracting and analyzing the list of variants revealed from an exome sequencing project to identify potential disease genes. This in silico method filters out the majority of common SNPs and extracts a list of potential candidate protein-coding and non-coding RNA (ncRNA) genes. The workflow employs Galaxy, a publically available Web-based software, to filter and sort sequence variants identified by capture-based target enrichment and sequencing from exomes including selected ncRNAs.
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