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A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
Microsatellites are useful tools for ecologists and conservationist biologists, but are taxa-specific and traditionally expensive and time-consuming to develop. New methods using next-generation sequencing (NGS) have reduced these problems, but the plethora of software available for processing NGS d...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175698/ https://www.ncbi.nlm.nih.gov/pubmed/32355508 http://dx.doi.org/10.1007/s12686-016-0570-7 |
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author | Griffiths, Sarah M. Fox, Graeme Briggs, Peter J. Donaldson, Ian J. Hood, Simon Richardson, Pen Leaver, George W. Truelove, Nathan K. Preziosi, Richard F. |
author_facet | Griffiths, Sarah M. Fox, Graeme Briggs, Peter J. Donaldson, Ian J. Hood, Simon Richardson, Pen Leaver, George W. Truelove, Nathan K. Preziosi, Richard F. |
author_sort | Griffiths, Sarah M. |
collection | PubMed |
description | Microsatellites are useful tools for ecologists and conservationist biologists, but are taxa-specific and traditionally expensive and time-consuming to develop. New methods using next-generation sequencing (NGS) have reduced these problems, but the plethora of software available for processing NGS data may cause confusion and difficulty for researchers new to the field of bioinformatics. We developed a bioinformatics pipeline for microsatellite development from Illumina paired-end sequences, which is packaged in the open-source bioinformatics tool Galaxy. This optimises and streamlines the design of a microsatellite panel and provides a user-friendly graphical user interface. The pipeline utilises existing programs along with our own novel program and wrappers to: quality-filter and trim reads (Trimmomatic); generate sequence quality reports (FastQC); identify potentially-amplifiable microsatellite loci (Pal_finder); design primers (Primer3); assemble pairs of reads to enhance marker amplification success rates (PANDAseq); and filter optimal loci (Pal_filter). The complete pipeline is freely available for use via a pre-configured Galaxy instance, accessible at https://palfinder.ls.manchester.ac.uk. |
format | Online Article Text |
id | pubmed-7175698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-71756982020-04-28 A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data Griffiths, Sarah M. Fox, Graeme Briggs, Peter J. Donaldson, Ian J. Hood, Simon Richardson, Pen Leaver, George W. Truelove, Nathan K. Preziosi, Richard F. Conserv Genet Resour Methods and Resources Article Microsatellites are useful tools for ecologists and conservationist biologists, but are taxa-specific and traditionally expensive and time-consuming to develop. New methods using next-generation sequencing (NGS) have reduced these problems, but the plethora of software available for processing NGS data may cause confusion and difficulty for researchers new to the field of bioinformatics. We developed a bioinformatics pipeline for microsatellite development from Illumina paired-end sequences, which is packaged in the open-source bioinformatics tool Galaxy. This optimises and streamlines the design of a microsatellite panel and provides a user-friendly graphical user interface. The pipeline utilises existing programs along with our own novel program and wrappers to: quality-filter and trim reads (Trimmomatic); generate sequence quality reports (FastQC); identify potentially-amplifiable microsatellite loci (Pal_finder); design primers (Primer3); assemble pairs of reads to enhance marker amplification success rates (PANDAseq); and filter optimal loci (Pal_filter). The complete pipeline is freely available for use via a pre-configured Galaxy instance, accessible at https://palfinder.ls.manchester.ac.uk. Springer Netherlands 2016-08-02 2016 /pmc/articles/PMC7175698/ /pubmed/32355508 http://dx.doi.org/10.1007/s12686-016-0570-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Methods and Resources Article Griffiths, Sarah M. Fox, Graeme Briggs, Peter J. Donaldson, Ian J. Hood, Simon Richardson, Pen Leaver, George W. Truelove, Nathan K. Preziosi, Richard F. A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data |
title | A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data |
title_full | A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data |
title_fullStr | A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data |
title_full_unstemmed | A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data |
title_short | A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data |
title_sort | galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from illumina next-generation sequencing data |
topic | Methods and Resources Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175698/ https://www.ncbi.nlm.nih.gov/pubmed/32355508 http://dx.doi.org/10.1007/s12686-016-0570-7 |
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