A comprehensive checklist of computational resources and methodologies for noncoding RNAs in systems medicine

WIREs RNA Pub Date : 2024-01-01 DOI:10.1002/wrna.1830

Ruijiang Li, Caiyun Zhao, Ruiqi Wang, Jing Wang, Yiguang Jin, Song He, Xiaochen Bo

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Abstract

Noncoding RNAs (ncRNAs), previously referred to as “dark matter” and now recognized as “bright star,” fulfill a variety of biological functions and are also emerging as potential biomarkers and therapies in oncology‐focused clinical trials. Systems medicine has become a holist paradigm to study the human body, which organically integrates data from basic research and clinical practice to improve our understanding and treatment of complex diseases. It is an interdisciplinary approach that brings systems biology and bioinformatics closer to clinical medicine. The development of high‐throughput techniques and the increasing adoption of computational methods across healthcare domains have accelerated and aided the tangible clinical applications of ncRNAs. Various resources and methodologies for ncRNAs enable a comprehensive analysis of heterogeneous and interlinked data, thereby providing new insights into systems medicine. In this review, we summarize the resources and models for ncRNA medical research, aiming to provide a technical manual for personalized and precision medicine at the system level.This article is categorized under: RNA Methods > RNA Analyses In Vitro and In Silico

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系统医学中的非编码 RNA 计算资源和方法综合清单

非编码 RNA（ncRNA）以前被称为 "暗物质"，现在被认为是 "明亮的星"，具有多种生物学功能，在以肿瘤学为重点的临床试验中也正在成为潜在的生物标记物和疗法。系统医学已成为研究人体的整体主义范式，它有机地整合了基础研究和临床实践的数据，以提高我们对复杂疾病的理解和治疗水平。它是一种跨学科方法，使系统生物学和生物信息学更接近临床医学。高通量技术的发展和计算方法在医疗保健领域的日益广泛应用，加速并促进了 ncRNA 的实际临床应用。针对 ncRNA 的各种资源和方法能够全面分析异构和相互关联的数据，从而为系统医学提供新的见解。在这篇综述中，我们总结了 ncRNA 医学研究的资源和模型，旨在为系统层面的个性化和精准医学提供一份技术手册。本文所属分类：RNA 方法 > RNA 体外和硅学分析

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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WIREs RNA

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