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Cloud accelerated alignment and assembly of full-length single-cell RNA-seq data using Falco

机译:使用Falco加速全长单细胞RNA-seq数据的云计算比对和组装

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摘要

The main step in most RNA sequencing (RNA-seq) analyses is the alignment of sequencing reads against the reference genome or transcriptome to find the location from which the reads originate. The positional information of the reads, together with the sequences of the reads themselves, forms the basis from which many different downstream analyses can be performed, such as gene expression analysis, variant calling, and novel isoform identification. The read alignment step is typically one of the most time consuming steps during RNA-seq analysis due to the complex algorithm utilised during the read alignment process. There have been a number of recently published tools which are designed to skip this expensive step through the use of pseudoalignment methods, such as kallisto [ ] and Salmon [ ]. However, these tools are designed specifically for read quantification and therefore are not applicable to other types of downstream analyses.
机译:大多数RNA测序(RNA-seq)分析的主要步骤是将测序读数与参考基因组或转录组进行比对,以找到读数起源的位置。读段的位置信息以及读段本身的序列构成了可以进行许多不同的下游分析(例如基因表达分析,变异调用和新型同工型鉴定)的基础。由于在阅读比对过程中使用了复杂的算法,因此阅读比对步骤通常是RNA-seq分析中最耗时的步骤之一。有许多最近发布的工具,这些工具旨在通过使用伪比对方法来跳过这一昂贵的步骤,例如kallisto []和Salmon []。但是,这些工具是专门为读取定量设计的,因此不适用于其他类型的下游分析。

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