Sarah M Griffiths, Graeme Fox, Peter J Briggs, Ian J Donaldson, Simon Hood, Pen Richardson, George W Leaver, Nathan K Truelove, Richard F Preziosi
{"title":"基于Illumina下一代测序数据的优化、流线型微卫星开发的基于星系的生物信息学管道。","authors":"Sarah M Griffiths, Graeme Fox, Peter J Briggs, Ian J Donaldson, Simon Hood, Pen Richardson, George W Leaver, Nathan K Truelove, Richard F Preziosi","doi":"10.1007/s12686-016-0570-7","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":10625,"journal":{"name":"Conservation Genetics Resources","volume":"8 4","pages":"481-486"},"PeriodicalIF":0.9000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12686-016-0570-7","citationCount":"35","resultStr":"{\"title\":\"A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data.\",\"authors\":\"Sarah M Griffiths, Graeme Fox, Peter J Briggs, Ian J Donaldson, Simon Hood, Pen Richardson, George W Leaver, Nathan K Truelove, Richard F Preziosi\",\"doi\":\"10.1007/s12686-016-0570-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":10625,\"journal\":{\"name\":\"Conservation Genetics Resources\",\"volume\":\"8 4\",\"pages\":\"481-486\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s12686-016-0570-7\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conservation Genetics Resources\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s12686-016-0570-7\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2016/8/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"BIODIVERSITY CONSERVATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conservation Genetics Resources","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s12686-016-0570-7","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2016/8/2 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
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 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.
期刊介绍:
Conservation Genetics Resources promotes the conservation of genetic diversity and advances the study of conservation genetics by providing rapid publication of technical papers and reviews on methodological innovations or improvements, computer programs, and genomic resources, as well as on the practical application of these resources towards the development of effective conservation policy and practice.