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• W2048452443 abstract "Researchers interested in studying and constructing transcriptomes, especially for non-model species, face the conundrum of choosing from a number of available de novo and genome-guided assemblers. None of the popular assembly tools in use today achieve requisite sensitivity, specificity or recovery of full-length transcripts on their own. Here, we present a comprehensive comparative study of the performance of various assemblers. Additionally, we present an approach to combinatorially augment transciptome assembly by using both de novo and genome-guided tools. In our study, we obtained the best recovery and most full-length transcripts with Trinity and TopHat1-Cufflinks, respectively. The sensitivity of the assembly and isoform recovery was superior, without compromising much on the specificity, when transcripts from Trinity were augmented with those from TopHat1-Cufflinks." @default.
• W2048452443 created "2016-06-24" @default.
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• W2048452443 date "2013-08-15" @default.
• W2048452443 modified "2023-09-23" @default.
• W2048452443 title "Augmenting transcriptome assembly by combining<i>de novo</i>and genome-guided tools" @default.
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• W2048452443 doi "https://doi.org/10.7717/peerj.133" @default.
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