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siRNA - Small Interfering RNAs

siRNA - Small Interfering RNAs

Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...

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Updated: Jul 11, 2025

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

PhasiHunter:基于多个参考序列的强大的分相siRNA调节级联挖掘工具.

Zerong Feng¹, Jiejie Feng¹, Baoyi Zhang¹

¹State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.

Bioinformatics (Oxford, England)

|November 11, 2023

概括

PhasiHunter是一个新的计算工具,用于预测植物中分阶段小干扰RNA (phasiRNA) 调节网络. 它为识别phasiRNA及其复杂相互作用提供了更高的准确性和效率.

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Last Updated: Jul 11, 2025

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

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Published on: December 1, 2023

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Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

科学领域:

植物分子生物学植物分子生物学
通过RNA干扰途径.
生物信息学工具生物信息学工具

背景情况:

阶段小干扰RNAs (phasiRNAs) 是植物生物过程的关键调节者.
通过计算预测phasiRNA调节级联仍然是一个重大挑战.
现有的工具缺乏全面的方法来准确地识别phasiRNA网络.

研究的目的:

介绍PhasiHunter,这是一个先进的计算工具,用于预测phasiRNA监管网络.
提供一种准确和有效的方法来识别植物中的phasiRNA及其标.
克服现有工具在phasiRNA预测和网络分析方面的局限性.

主要方法:

整合了两个主要的phasiRNA预测算法:阶段分数和超几何分布.
支持多个参考序列和预测结果的自动集成.
通过替代拼接事件生成的phasiRNAs的有效识别.
利用强大的数据结构和并行计算来实现高效率的预测.

主要成果:

通过结合多个算法,PhasiHunter可以准确地预测phasiRNA监管网络.
该工具有效地识别了来自不同植物物种的phasiRNA,并整合了结果.
PhasiHunter成功检测出来自替代拼接的phasiRNAs.
实现了对phasiRNA及其调节通路的高预测效率.

结论:

PhasiHunter 在phasiRNA网络的计算预测方面取得了重大进展.
该工具提高了植物中phasiRNA识别的准确性和效率.
PhasiHunter促进了对植物中phasiRNA介导的基因调节的更深入的理解.