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Updated: Aug 19, 2025
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
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Bioinformatic tools for epitranscriptomics
1Department of Physics, Chuo University, Tokyo, Japan.
American Journal of Physiology. Cell Physiology
|December 5, 2022
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 datasets using high-throughput sequencing. In this review, we summarize recent developments in epitranscriptome spatial detection and data analysis and discuss their progression.
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