计算生物学
序列(生物学)
生物
计算机科学
数据科学
遗传学
出处
期刊:American Journal of Physiology-cell Physiology
[American Physiological Society]
日期:2023-02-01
卷期号:324 (2): C447-C457
被引量:3
标识
DOI:10.1152/ajpcell.00437.2022
摘要
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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