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Published on: August 18, 2018
StringFix: an annotation-guided transcriptome assembler improves the recovery of amino acid sequences from RNA-Seq
Joongho Lee1, Minsoo Kim1, Kyudong Han2,3,4
1Dept. of Computer Science, College of SW Convergence, Dankook Univ, Yongin-si, 16890, Korea.
Background:
Reconstruction of amino acid sequences from assembled transcriptome is of interest in personalized medicine, for example, to predict drug-target (or protein-protein) interaction considering individual's genomic variations. Most of the existing transcriptome assemblers, however, seems not well suited for this purpose.
Methods:
In this work, we present StringFix, an annotation guided transcriptome assembly and protein sequence reconstruction software tool that takes genome-aligned reads and the annotations associated to the reference genome as input. The tool 'fixes' the pre-annotated transcript sequence by taking small variations into account, finally to produce possible amino acid sequences that are likely to exist in the test tissue.
Results:
The results show that, using outputs from existing reference-based assemblers as the input GTF-guide, StringFix could reconstruct amino acid sequences more precisely with higher sensitivity than direct generation using the recovered transcripts from all the assemblers we tested.
Conclusion:
By using StringFix with the existing reference-based assemblers, one can recover not only a novel transcripts and isoforms but also the possible amino acid sequence stemming from them.
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