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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Hinchcliffe, M., Webster, P. (2011). In Silico Analysis of the Exome for Gene Discovery. In: Yu, B., Hinchcliffe, M. (eds) In Silico Tools for Gene Discovery. Methods in Molecular Biology, vol 760. Humana Press. https://doi.org/10.1007/978-1-61779-176-5_7
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DOI: https://doi.org/10.1007/978-1-61779-176-5_7
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