SPANDx: A genomics pipeline for comparative analysis of large haploid whole genome re-sequencing datasets

Derek S Sarovich; Erin P Price

doi:10.1186/1756-0500-7-618

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SPANDx: A genomics pipeline for comparative analysis of large haploid whole genome re-sequencing datasets

Journal article

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Peer reviewed

SPANDx: A genomics pipeline for comparative analysis of large haploid whole genome re-sequencing datasets

Derek S Sarovich and Erin P Price

BMC Research Notes, Vol.7(1), 618

2014

DOI: https://doi.org/10.1186/1756-0500-7-618

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Abstract

NGS

haploid

pipeline

comparative genomics

illumina

ion PGM

variant calling

SNP

indel

phylogeny

Background: Next-generation sequencing (NGS) is now a commonplace tool for molecular characterisation of virtually any species of interest. Despite the ever-increasing use of NGS in laboratories worldwide, analysis of whole genome re-sequencing (WGS) datasets from start to finish remains nontrivial due to the fragmented nature of NGS software and the lack of experienced bioinformaticists in many research teams. Findings. We describe SPANDx (Synergised Pipeline for Analysis of NGS Data in Linux), a new tool for high-throughput comparative analysis of haploid WGS datasets comprising one through thousands of genomes. SPANDx consolidates several well-validated, open-source packages into a single tool, mitigating the need to learn and manipulate individual NGS programs. SPANDx incorporates BWA for alignment of raw NGS reads against a reference genome or pan-genome, followed by data filtering, variant calling and annotation using Picard, GATK, SAMtools and SnpEff. BEDTools has also been included for genetic locus presence/absence (P/A) determination to easily visualise the core and accessory genomes. Additional SPANDx features include construction of error-corrected single-nucleotide polymorphism (SNP) and insertion-deletion matrices, and P/A matrices, to enable user-friendly visualisation of genetic variants. The SNP matrices generated using VCFtools and GATK are directly importable into PAUPâˆ—, PHYLIP or RAxML for downstream phylogenetic analysis. SPANDx has been developed to handle NGS data from Illumina, Ion Personal Genome Machine (PGM) and 454 platforms, and we demonstrate that it has comparable performance across Illumina MiSeq/HiSeq2000 and Ion PGM data. Conclusion: SPANDx is an all-in-one tool for comprehensive haploid WGS analysis. SPANDx is open source and is freely available at:. © 2014 Sarovich and Price; licensee BioMed Central Ltd.

Details

Title: SPANDx: A genomics pipeline for comparative analysis of large haploid whole genome re-sequencing datasets
Authors: Derek S Sarovich (Author) - Charles Darwin University
Erin P Price (Author) - Charles Darwin University
Publication details: BMC Research Notes, Vol.7(1), 618
Publisher: BioMed Central Ltd.
Date published: 2014
DOI: 10.1186/1756-0500-7-618
ISSN: 1756-0500
Copyright note: Copyright © 2014 Sarovich and Price; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Organisation Unit: University of the Sunshine Coast, Queensland; Centre for Bioinnovation
Language: English
Record Identifier: 99451041802621
Output Type: Journal article

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