Evidence map›Paper›PMID 37837515›Full record

ArticleGenes & genomics2023

StringFix: an annotation-guided transcriptome assembler improves the recovery of amino acid sequences from RNA-Seq reads.

Joongho Lee, Minsoo Kim, Kyudong Han, Seokhyun Yoon

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Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Joongho LeeDept. of Computer Science, College of SW Convergence, Dankook Univ, Yongin-si, 16890, Korea.
Minsoo KimDept. of Computer Science, College of SW Convergence, Dankook Univ, Yongin-si, 16890, Korea.
Kyudong HanCenter for Bio-Medical Engineering Core Facility, Dankook Univ, Cheonan, 31116, Korea.
Seokhyun YoonDept. of Electronics and Electrical Engineering, College of Engineering, Dankook Univ, Yongin-si, 16890, Korea. syoon@dku.edu.ORCID 0000-0002-0464-2233

Funding

Dankook University Research Fund in 2022
6 · The paper itself

Abstract

backgroundReconstruction 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.

methodsIn 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.

resultsThe 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.

conclusionBy 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.

Indexed as

SoftwareTranscriptomeAmino Acid SequenceRNA-SeqSequence Analysis, RNA

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.