Quantum computing in bioinformatics: a systematic review mapping.

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Katarzyna Nałęcz-Charkiewicz, Kamil Charkiewicz, Robert M Nowak
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引用次数: 0

Abstract

The field of quantum computing (QC) is expanding, with efforts being made to apply it to areas previously covered by classical algorithms and methods. Bioinformatics is one such domain that is developing in terms of QC. This article offers a broad mapping review of methods and algorithms of QC in bioinformatics, marking the first of its kind. It presents an overview of the domain and aids researchers in identifying further research directions in the early stages of this field of knowledge. The work presented here shows the current state-of-the-art solutions, focuses on general future directions, and highlights the limitations of current methods. The gathered data includes a comprehensive list of identified methods along with descriptions, classifications, and elaborations of their advantages and disadvantages. Results are presented not just in a descriptive table but also in an aggregated and visual format.

生物信息学中的量子计算:系统回顾图谱。
量子计算(QC)领域正在不断扩大,人们正努力将其应用到以前由经典算法和方法覆盖的领域。生物信息学就是量子计算发展的一个领域。本文首次对生物信息学中的 QC 方法和算法进行了广泛的图谱审查。文章对该领域进行了概述,有助于研究人员在这一知识领域的早期阶段确定进一步的研究方向。这里介绍的工作展示了当前最先进的解决方案,重点关注未来的大方向,并强调了当前方法的局限性。收集的数据包括一份已确定方法的综合清单,以及对其优缺点的描述、分类和阐述。结果不仅以描述性表格的形式呈现,还以汇总和可视化的形式呈现。
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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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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