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bioRxiv · 10.1101/043802

Strawberry: fast and accurate genome-guided transcript reconstruction and quantification from RNA-seq

Ruolin Liu·Julie Dickerson
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Abstract

We propose a novel method and computational tool, Strawberry, for transcript reconstruction and quantification from paired-end RNA-seq data under the guidance of genome alignment and independent of gene annotation. Strawberry achieves this through disentangling assembly and quantification in a sequential manner. The application of a fast flow network algorithm for assembly speeds up the construction of a parsimonious set of transcripts. The resulting reduced data representation improves the efficiency of expression-level quantification. Strawberry leverages the speed and accuracy of transcript assembly and quantification in such a way that processing 10 million simulated reads (after alignment) requires only 90 seconds using a single thread while achieving over 92% correlation with the ground truth, making it the state-of-the-art method. Strawberry outperforms Cufflinks and StringTie, the two other leading methods, in many aspects, including the number of corrected assembled transcripts and the correlation with the ground truth of simulated RNA-seq data. Availability: Strawberry is written in C++11, and is available as open source software at https://github.com/ruolin/Strawberry under the GPLv3 license.

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Ruolin Liu, Julie Dickerson. 2016-03-16. Strawberry: fast and accurate genome-guided transcript reconstruction and quantification from RNA-seq. https://doi.org/10.1101/043802

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