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Updated: Jun 12, 2025

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lncRNAlyzr:对lncRNA集的丰富分析

John Erol Evangelista¹, Tahleel Ali-Nasser², Lauren E Malek¹

¹Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.

Journal of molecular biology

|March 26, 2025

概括

lncRNAlyzr是一个新的网络服务器,用于分析长非编码RNA (lncRNA) 函数. 它通过提供丰富分析工具,帮助研究人员了解lncRNA在生物过程和疾病中的作用.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
分子生物学分子生物学

背景情况:

长非编码RNAs (lncRNAs) 构成了人类基因组的重要组成部分,并影响了许多生物过程.
尽管lncRNAs很重要,但它们的研究仍然比编码蛋白质的基因少.
现有的基因组丰富分析工具主要集中在编码基因上,为lncRNA特异性分析留下了一个空白.

研究的目的:

介绍IncRNAlyzr,这是一款用于IncRNA丰富分析的新型网络服务器应用程序.
为探索 lncRNAs 在各种生物环境中的功能作用提供一个用户友好的平台.
促进对lncRNA参与正常生理和疾病状态的更深入的理解.

主要方法:

lncRNAlyzr使用一个精心策划的数据库,包括33个lncRNA集库.
这些库是通过计算 lncRNA 和注释编码基因集之间的相关性来构建的.
丰富分析由用户提交 lncRNAs 列表进行,结果可视化为子网络.

主要成果:

网络服务器将丰富分析结果视为球和棒子网络.
这些子网络中的节点代表lncRNAs,与lncRNA集库中的丰富术语相互连接.
在K562细胞中使用IncRNA CYTOR敲击的演示展示了该工具的实用性.

结论:

lncRNAlyzr是用于 lncRNA丰富分析的宝贵工具.
该应用程序旨在增强功能注释和对lncRNAs的理解.
它为探索 lncRNA 功能模块及其生物学意义提供了一个独特的资源.

关键词:

丰富了他们的财富.丰富r-KGG 的时间.丰富分析是一种丰富分析.知识图是知识图.在ncRNA中,我们可以

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相关概念视频

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...