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利用RNA测序数据对细菌转录组进行从头组装。

De novo assembly of bacterial transcriptomes from RNA-seq data.

作者信息

Tjaden Brian

机构信息

Computer Science Department, Wellesley College, Wellesley, MA, 02481, USA.

出版信息

Genome Biol. 2015 Jan 13;16(1):1. doi: 10.1186/s13059-014-0572-2.

Abstract

Transcriptome assays are increasingly being performed by high-throughput RNA sequencing (RNA-seq). For organisms whose genomes have not been sequenced and annotated, transcriptomes must be assembled de novo from the RNA-seq data. Here, we present novel algorithms, specific to bacterial gene structures and transcriptomes, for analysis of bacterial RNA-seq data and de novo transcriptome assembly. The algorithms are implemented in an open source software system called Rockhopper 2. We find that Rockhopper 2 outperforms other de novo transcriptome assemblers and offers accurate and efficient analysis of bacterial RNA-seq data. Rockhopper 2 is available at http://cs.wellesley.edu/~btjaden/Rockhopper .

摘要

转录组分析越来越多地通过高通量RNA测序(RNA-seq)来进行。对于基因组尚未测序和注释的生物,必须从RNA-seq数据中从头组装转录组。在此,我们提出了针对细菌基因结构和转录组的新型算法,用于分析细菌RNA-seq数据和从头转录组组装。这些算法在一个名为Rockhopper 2的开源软件系统中实现。我们发现Rockhopper 2优于其他从头转录组组装程序,并能对细菌RNA-seq数据进行准确高效的分析。可通过http://cs.wellesley.edu/~btjaden/Rockhopper获取Rockhopper 2。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e75f/4316799/44d8f46d58f2/13059_2014_572_Fig1_HTML.jpg

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