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TransRate: reference-free quality assessment of de novo transcriptome assemblies

Open access
Smith-Unna, Richard, Boursnell, Chris, Patro, Rob, Hibberd, Julian M., Kelly, Steven·2016·Genome Research

Abstract

TransRate is a tool for reference-free quality assessment of de novo transcriptome assemblies. Using only the sequenced reads and the assembly as input, we show that multiple common artifacts of de novo transcriptome assembly can be readily detected. These include chimeras, structural errors, incomplete assembly, and base errors. TransRate evaluates these errors to produce a diagnostic quality score for each contig, and these contig scores are integrated to evaluate whole assemblies. Thus, TransRate can be used for de novo assembly filtering and optimization as well as comparison of assemblies generated using different methods from the same input reads. Applying the method to a data set of 155 published de novo transcriptome assemblies, we deconstruct the contribution that assembly method, read length, read quantity, and read quality make to the accuracy of de novo transcriptome assemblies and reveal that variance in the quality of the input data explains 43% of the variance in the quality of published de novo transcriptome assemblies. Because TransRate is reference-free, it is suitable for assessment of assemblies of all types of RNA, including assemblies of long noncoding RNA, rRNA, mRNA, and mixed RNA samples.

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Metadata

Authors
Smith-Unna, R., Boursnell, C., Patro, R., Hibberd, J. M., & Kelly, S.
Venue
Genome Research
Published
2016-06-01
Volume
26
Issue
8
Pages
1134-1144
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W2409002067
Cited by
837
References
23
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: TransRate: reference-free quality assessment of de novo transcriptome assemblies. https://app.cochat.ai/papers/10.1101/gr.196469.115
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Smith-Unna, R., Boursnell, C., Patro, R., Hibberd, J. M., & Kelly, S. (2016). TransRate: reference-free quality assessment of de novo transcriptome assemblies. Genome Research. https://doi.org/10.1101/gr.196469.115

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