2023
DOI: 10.1152/ajpcell.00437.2022
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Bioinformatic tools for epitranscriptomics

Abstract: The epitranscriptome, defined as RNA modifications that do not involve alterations in the nucleotide sequence, is a popular topic in the genomic sciences. Because we need massive computational techniques to identify epitranscriptomes within individual transcripts, many tools have been developed to infer epitranscriptomic sites as well as to process data sets using high-throughput sequencing. In this review, we have summarized recent developments in epitranscriptome spatial detection and data analysis and discu… Show more

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Cited by 6 publications
(2 citation statements)
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“…Conventional sequencing techniques such as bulk RNA-seq and scRNA-seq quantify and normalize for mRNA expression but are not specifically developed to detect RNA modifications. Taguchi et al recently reviewed developments in epitranscriptome spatial detection and data analysis [ 41 ]. Advancements in de novo sequencing will be discussed later in this review.…”
Section: Rna Modification Patterns In Gliomamentioning
confidence: 99%
“…Conventional sequencing techniques such as bulk RNA-seq and scRNA-seq quantify and normalize for mRNA expression but are not specifically developed to detect RNA modifications. Taguchi et al recently reviewed developments in epitranscriptome spatial detection and data analysis [ 41 ]. Advancements in de novo sequencing will be discussed later in this review.…”
Section: Rna Modification Patterns In Gliomamentioning
confidence: 99%
“…Recently, with the advancements in bioinformatics, there's been an upsurge in accessible data and refined algorithmic frameworks. This evolution equips researchers with the tools to efficiently pinpoint and validate potential biological targets (Taguchi, 2023).…”
Section: Introductionmentioning
confidence: 99%