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Dabney, A. R.

Publications and source records attributed to Dabney, A. R..

2 recordsLinked to original sources

SECNVs: A Simulator of Copy Number Variants and Whole-Exome Sequences from Reference Genomes

Copy number variants are insertions and deletions of 1 kb or larger in a genome that play an important role in phenotypic changes and human disease. Many software applications have been developed to detect copy number variants using either whole-genome sequencing or whole-exome sequencing data. However, there is poor agreement in the results from these applications. Simulated datasets containing copy number variants allow comprehensive comparisons of the operating characteristics of existing and novel copy number variant detection methods. Several software applications have been developed to simulate copy number variants and other structural variants in whole-genome sequencing data. However, none of the applications reliably simulate copy number variants in whole-exome sequencing data. We have developed and tested SECNVs (Simulator of Exome Copy Number Variants), a fast, robust and customizable software application for simulating copy number variants and whole-exome sequences from a reference genome. SECNVs is easy to install, implements a wide range of commands to customize simulations, can output multiple samples at once, and incorporates a pipeline to output rearranged genomes, short reads and BAM files in a single command. Variants generated by SECNVs are detected with high sensitivity and precision by tools commonly used to detect copy number variants. SECNVs is publicly available at https://github.com/YJulyXing/SECNVs.

bioinformatics↗

SimulateCNVs: a novel software application for simulating CNVs in WES and WGS data

SummarySimulateCNVs is a fast and novel software application for simulating CNVs in WES and WGS data. Current NGS simulators cannot simulate rearranged genomes and their alignment files for WES data and are not easy to use. SimulateCNVs is the first software application that can simulate CNVs in both WES and WGS data, is easy to install, has many unique features, and can output rearranged genomes, short reads and bam files in a single command.\n\nAvailabilitySimulateCNVs is freely available from https://yjulyxing.github.io/\n\nContactinumia@tamu.edu, ccasola@tamu.edu

bioinformatics↗