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Fig. 3 | BMC Bioinformatics

Fig. 3

From: K-mer clustering algorithm using a MapReduce framework: application to the parallelization of the Inchworm module of Trinity

Fig. 3

Assessment of the reconstruction accuracy of MapReduce-Inchworm (red bars) compared to the original Inchworm program (light blue bars), as given by the REF-EVAL tool of DETONATE [41]. Plots (a) and (c) give results for the dataset of 100 M simulated pair-end reads (see main text), while plots (b) and (d) give the corresponding results for the original mouse RNA-Seq dataset of experimental reads. Plots (a) and (b) show the Recall statistic, which is the fraction of reference transcripts that are correctly recovered by an assembly. Plots (c) and (d) show the Precision statistic, which is the fraction of assembled transcripts that correctly recover a reference transcript. Recovery of a reference transcript by a particular assembly is measured at the “contig” level, which requires almost complete alignment in a one-to-one mapping between the assembly and the reference. Each plot is given as a function of the alignment cutoff used to identify a recovered transcript

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