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PIPITS:一种用于分析来自Illumina测序平台的真菌内转录间隔区序列的自动化流程。

PIPITS: an automated pipeline for analyses of fungal internal transcribed spacer sequences from the Illumina sequencing platform.

作者信息

Gweon Hyun S, Oliver Anna, Taylor Joanne, Booth Tim, Gibbs Melanie, Read Daniel S, Griffiths Robert I, Schonrogge Karsten

机构信息

Centre for Ecology & Hydrology Maclean Building Benson Lane Crowmarsh Gifford Wallingford, Oxon OX10 8BB UK.

Royal Botanic Garden Edinburgh 20A Inverleith Row Edinburgh EH3 5LR UK.

出版信息

Methods Ecol Evol. 2015 Aug;6(8):973-980. doi: 10.1111/2041-210X.12399. Epub 2015 May 25.

Abstract

Studying fungal biodiversity using data generated from Illumina MiSeq sequencing platforms poses a number of bioinformatic challenges with the analysis typically involving a large number of tools for each analytical step from quality filtering to generating identified operational taxonomic unit (OTU) abundance tables.Here, we introduce PIPITS, an open-source stand-alone suite of software for automated processing of Illumina MiSeq sequences for fungal community analysis. PIPITS exploits a number of state of the art applications to process paired-end reads from quality filtering to producing OTU abundance tables.We provide detailed descriptions of the pipeline and show its utility in the analysis of 9 396 092 sequences generated on the MiSeq platform from Illumina MiSeq. PIPITS is the first automated bioinformatics pipeline dedicated for fungal ITS sequences which incorporates ITSx to extract subregions of ITS and exploits the latest RDP Classifier to classify sequences against the curated UNITE fungal data set.

摘要

利用Illumina MiSeq测序平台生成的数据研究真菌生物多样性带来了许多生物信息学挑战,分析过程通常在从质量过滤到生成已识别的操作分类单元(OTU)丰度表的每个分析步骤中都涉及大量工具。在此,我们介绍PIPITS,这是一套用于自动处理Illumina MiSeq序列以进行真菌群落分析的开源独立软件套件。PIPITS利用了许多先进的应用程序来处理双端读数,从质量过滤到生成OTU丰度表。我们提供了该流程的详细描述,并展示了其在分析Illumina MiSeq在MiSeq平台上生成的9396092条序列中的效用。PIPITS是首个专门用于真菌ITS序列的自动化生物信息学流程,它结合了ITSx来提取ITS的子区域,并利用最新的RDP分类器根据经过整理的UNITE真菌数据集对序列进行分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/029c/4981123/6e2106592d3b/MEE3-6-973-g001.jpg

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