Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
复制标题

DOI:
10.1093/bib/bbaa232
复制
发表时间:
2021-03-22
影响因子:
9.5
通讯作者:
Marz M
Marz M
中科院分区:
生物学2区
文献类型:
--
作者:
Hufsky F;Lamkiewicz K;Almeida A;Aouacheria A;Arighi C;Bateman A;Baumbach J;Beerenwinkel N;Brandt C;Cacciabue M;Chuguransky S;Drechsel O;Finn RD;Fritz A;Fuchs S;Hattab G;Hauschild AC;Heider D;Hoffmann M;Hölzer M;Hoops S;Kaderali L;Kalvari I;von Kleist M;Kmiecinski R;Kühnert D;Lasso G;Libin P;List M;Löchel HF;Martin MJ;Martin R;Matschinske J;McHardy AC;Mendes P;Mistry J;Navratil V;Nawrocki EP;O'Toole ÁN;Ontiveros-Palacios N;Petrov AI;Rangel-Pineros G;Redaschi N;Reimering S;Reinert K;Reyes A;Richardson L;Robertson DL;Sadegh S;Singer JB;Theys K;Upton C;Welzel M;Williams L;Marz M

文献摘要

参考文献

被引文献

相似文献

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是冠状病毒科的一种新型病毒,该病毒引发了传染性疾病2019冠状病毒病(COVID-19)。对冠状病毒生物学的研究已有多年。然而,专门针对SARS-CoV-2设计的生物信息学工具,只是在近期才作为对快速检测、了解和治疗COVID-19需求的快速响应而开发出来。为控制当前的COVID-19大流行,深入了解该病毒的进化和发病机制至关重要。在这篇综述中,我们涵盖了用于SARS-CoV-2感染常规检测、测序数据可靠分析、COVID-19大流行追踪及防控措施评估、冠状病毒进化研究、潜在药物靶点发现以及治疗策略开发的生物信息学工作流程和工具。对于每种工具,我们简要描述其应用场景,以及它如何专门推动针对SARS-CoV-2的研究。所有工具均可免费使用,并且可通过网络应用程序或公共代码库在线获取。联系方式:evbc@unj - jena.de
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel virus of the family Coronaviridae. The virus causes the infectious disease COVID-19. The biology of coronaviruses has been studied for many years. However, bioinformatics tools designed explicitly for SARS-CoV-2 have only recently been developed as a rapid reaction to the need for fast detection, understanding and treatment of COVID-19. To control the ongoing COVID-19 pandemic, it is of utmost importance to get insight into the evolution and pathogenesis of the virus. In this review, we cover bioinformatics workflows and tools for the routine detection of SARS-CoV-2 infection, the reliable analysis of sequencing data, the tracking of the COVID-19 pandemic and evaluation of containment measures, the study of coronavirus evolution, the discovery of potential drug targets and development of therapeutic strategies. For each tool, we briefly describe its use case and how it advances research specifically for SARS-CoV-2. All tools are free to use and available online, either through web applications or public code repositories. Contact:evbc@unj-jena.de
DOI: 10.1093/molbev/mst024
发表时间: 2013-05
影响因子: 10.7
作者:
Minh BQ;Nguyen MA;von Haeseler A
通讯作者: von Haeseler A
DOI: 10.1016/j.meegid.2017.05.007
发表时间: 2017-09-01
影响因子: 3.2
作者:
Cuypers, Lize;Libin, Pieter;Vandamme, Anne-Mieke
通讯作者: Vandamme, Anne-Mieke
DOI: 10.1126/science.1245200
发表时间: 2013-12-13
期刊: SCIENCE
影响因子: 56.9
作者:
Brockmann, Dirk;Helbing, Dirk
通讯作者: Helbing, Dirk
DOI: 10.1186/1471-2105-5-96
发表时间: 2004-07-14
期刊: BMC BIOINFORMATICS
影响因子: 3
作者:
Brodie, R;Smith, AJ;Upton, C
通讯作者: Upton, C
DOI: 10.1128/jvi.78.14.7846-7851.2004
发表时间: 2004-07-01
影响因子: 5.4
作者:
Goebel, SJ;Taylor, J;Masters, PS
通讯作者: Masters, PS