• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

PHINDaccess 针对 COVID-19 和宿主-病原体相互作用的黑客马拉松:从中学到的经验教训和对中低收入国家的建议。

PHINDaccess Hackathons for COVID-19 and Host-Pathogen Interaction: Lessons Learned and Recommendations for Low- and Middle-Income Countries.

机构信息

Laboratory of Bioinformatics, Biomathematics and Biostatistics LR20IPT09, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia.

Laboratory of Biomedical Genomics and Oncogenetics (LR20IPT05), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia.

出版信息

Biomed Res Int. 2023 Oct 10;2023:6638714. doi: 10.1155/2023/6638714. eCollection 2023.

DOI:10.1155/2023/6638714
PMID:37854792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10581832/
Abstract

Hackathons are collaborative events that bring together diverse groups to solve predefined challenges. The COVID-19 pandemic caused by SARS-CoV-2 has emphasized the need for portable and reproducible genomics analysis pipelines to study the genetic susceptibility of the human host and investigate human-SARS-CoV-2 protein interactions. To build and strengthen institutional capacities in OMICS data analysis applied to host-pathogen interaction (HPI), the PHINDaccess project organized two hackathons in 2020 and 2021. These hackathons are aimed at developing bioinformatics pipelines related to the SARS-CoV-2 viral genome, its phylodynamic transmission, and the identification of human genome host variants, with a focus on addressing global health challenges, particularly in low- and middle-income countries (LMIC). This paper outlines the preparation, proceedings, and lessons learned from these hackathons, including the challenges faced by participants and our recommendations based on our experience for organizing hackathons in LMIC and beyond.

摘要

研讨会是一种将不同群体聚集在一起解决预定义挑战的协作活动。由 SARS-CoV-2 引起的 COVID-19 大流行强调了需要便携式和可重复的基因组学分析管道,以研究人类宿主的遗传易感性,并研究人类 - SARS-CoV-2 蛋白相互作用。为了建立和加强应用于宿主-病原体相互作用(HPI)的 OMICS 数据分析的机构能力,PHINDaccess 项目于 2020 年和 2021 年组织了两次研讨会。这些研讨会旨在开发与 SARS-CoV-2 病毒基因组、其系统发育传播以及人类基因组宿主变异体识别相关的生物信息学管道,重点是解决全球健康挑战,特别是在中低收入国家(LMIC)。本文概述了这些研讨会的筹备、进行情况和经验教训,包括参与者面临的挑战以及我们根据在 LMIC 及其他地区组织研讨会的经验提出的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/d91aca0a89d4/BMRI2023-6638714.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/d2e8d132c1f0/BMRI2023-6638714.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/51f79ed3d6f4/BMRI2023-6638714.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/2ef6ce5c983a/BMRI2023-6638714.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/91b91a3fec88/BMRI2023-6638714.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/d91aca0a89d4/BMRI2023-6638714.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/d2e8d132c1f0/BMRI2023-6638714.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/51f79ed3d6f4/BMRI2023-6638714.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/2ef6ce5c983a/BMRI2023-6638714.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/91b91a3fec88/BMRI2023-6638714.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b6d/10581832/d91aca0a89d4/BMRI2023-6638714.005.jpg

相似文献

1
PHINDaccess Hackathons for COVID-19 and Host-Pathogen Interaction: Lessons Learned and Recommendations for Low- and Middle-Income Countries.PHINDaccess 针对 COVID-19 和宿主-病原体相互作用的黑客马拉松:从中学到的经验教训和对中低收入国家的建议。
Biomed Res Int. 2023 Oct 10;2023:6638714. doi: 10.1155/2023/6638714. eCollection 2023.
2
Topological Analysis for Sequence Variability: Case Study on more than 2K SARS-CoV-2 sequences of COVID-19 infected 54 countries in comparison with SARS-CoV-1 and MERS-CoV.拓扑分析用于序列变异:以 54 个国家 2000 多个 COVID-19 感染 SARS-CoV-2 序列为例,与 SARS-CoV-1 和 MERS-CoV 进行比较。
Infect Genet Evol. 2021 Mar;88:104708. doi: 10.1016/j.meegid.2021.104708. Epub 2021 Jan 6.
3
Genetic variation analyses indicate conserved SARS-CoV-2-host interaction and varied genetic adaptation in immune response factors in modern human evolution.遗传变异分析表明,在现代人类进化过程中,SARS-CoV-2 与宿主的相互作用是保守的,而在免疫反应因子方面则存在着不同的遗传适应性。
Dev Growth Differ. 2021 Apr;63(3):219-227. doi: 10.1111/dgd.12717. Epub 2021 Mar 21.
4
A Paradigm Gap in Host-Pathogen Interaction Studies: Lesson from the COVID-19 Pandemic.宿主-病原体相互作用研究中的范式差距:COVID-19 大流行的教训。
Adv Exp Med Biol. 2021;1353:47-70. doi: 10.1007/978-3-030-85113-2_3.
5
Comparative Host-Pathogen Interaction Analyses of SARS-CoV2 and Aspergillus fumigatus, and Pathogenesis of COVID-19-Associated Aspergillosis.新型冠状病毒2型与烟曲霉的宿主-病原体相互作用比较分析及新冠肺炎相关性曲霉病的发病机制
Microb Ecol. 2022 Nov;84(4):1236-1244. doi: 10.1007/s00248-021-01913-6. Epub 2021 Nov 4.
6
Advancing genomic epidemiology by addressing the bioinformatics bottleneck: Challenges, design principles, and a Swiss example.通过解决生物信息学瓶颈来推进基因组流行病学:挑战、设计原则和瑞士范例。
Epidemics. 2022 Jun;39:100576. doi: 10.1016/j.epidem.2022.100576. Epub 2022 May 14.
7
Implementation of Public Health Genomics in Africa: Lessons from the COVID-19 pandemic, challenges, and recommendations.非洲公共卫生基因组学的实施:从 COVID-19 大流行中吸取的教训、挑战和建议。
J Med Virol. 2023 Jan;95(1):e28295. doi: 10.1002/jmv.28295. Epub 2022 Nov 17.
8
Pathogen genomics in public health laboratories: successes, challenges, and lessons learned from California's SARS-CoV-2 Whole-Genome Sequencing Initiative, California COVIDNet.公共卫生实验室中的病原体基因组学:来自加利福尼亚 SARS-CoV-2 全基因组测序计划(加利福尼亚 COVIDNet)的成功经验、挑战和教训。
Microb Genom. 2023 Jun;9(6). doi: 10.1099/mgen.0.001027.
9
Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis.全基因组生物信息学分析预测 SARS-CoV-2 发病机制中的关键宿主和病毒因素。
Commun Biol. 2021 May 17;4(1):590. doi: 10.1038/s42003-021-02095-0.
10
Maintaining Stroke Care During the COVID-19 Pandemic in Lower- and Middle-Income Countries: World Stroke Organization Position Statement Endorsed by American Stroke Association and American Heart Association.在中低收入国家 COVID-19 大流行期间维持卒中护理:世界卒中组织立场声明得到美国卒中协会和美国心脏协会的认可。
Stroke. 2022 Mar;53(3):1043-1050. doi: 10.1161/STR.0000000000000394. Epub 2022 Feb 28.

引用本文的文献

1
Design and implementation of a scalable high-performance computing (HPC) cluster for omics data analysis: achievements, challenges and recommendations in LMICs.用于组学数据分析的可扩展高性能计算 (HPC) 集群的设计与实现:在中低等收入国家的成就、挑战与建议。
Gigascience. 2024 Jan 2;13. doi: 10.1093/gigascience/giae060.

本文引用的文献

1
Virtual hackathon to tackle COVID-19 unmet needs.应对新冠疫情未满足需求的虚拟黑客马拉松。
BMJ Innov. 2021 Apr 19;7(2):284-287. doi: 10.1136/bmjinnov-2020-000456. Epub 2020 Dec 28.
2
Variant interpretation: UCSC Genome Browser Recommended Track Sets.变异解释:UCSC 基因组浏览器推荐的轨道集。
Hum Mutat. 2022 Aug;43(8):998-1011. doi: 10.1002/humu.24335. Epub 2022 Feb 7.
3
Coronavirus GenBrowser for monitoring the transmission and evolution of SARS-CoV-2.冠状病毒基因浏览器用于监测 SARS-CoV-2 的传播和演变。
Brief Bioinform. 2022 Mar 10;23(2). doi: 10.1093/bib/bbab583.
4
GISAID's Role in Pandemic Response.全球流感共享数据库(GISAID)在大流行应对中的作用。
China CDC Wkly. 2021 Dec 3;3(49):1049-1051. doi: 10.46234/ccdcw2021.255.
5
H3ABioNet genomic medicine and microbiome data portals hackathon proceedings.H3ABioNet 基因组医学和微生物组数据门户黑客马拉松会议记录。
Database (Oxford). 2021 Apr 17;2021. doi: 10.1093/database/baab016.
6
Rapid crowdsourced innovation for COVID-19 response and economic growth.针对新冠疫情应对和经济增长的快速众包创新。
NPJ Digit Med. 2021 Feb 9;4(1):18. doi: 10.1038/s41746-021-00397-5.
7
Interdisciplinary Online Hackathons as an Approach to Combat the COVID-19 Pandemic: Case Study.跨学科在线黑客马拉松作为应对 COVID-19 大流行的一种方法:案例研究。
J Med Internet Res. 2021 Feb 8;23(2):e25283. doi: 10.2196/25283.
8
LitCovid: an open database of COVID-19 literature.LitCovid:一个 COVID-19 文献的开放数据库。
Nucleic Acids Res. 2021 Jan 8;49(D1):D1534-D1540. doi: 10.1093/nar/gkaa952.
9
Ensembl 2021.Ensembl 2021.
Nucleic Acids Res. 2021 Jan 8;49(D1):D884-D891. doi: 10.1093/nar/gkaa942.
10
An online coronavirus analysis platform from the National Genomics Data Center.国家基因组科学数据中心的在线冠状病毒分析平台。
Zool Res. 2020 Nov 18;41(6):705-708. doi: 10.24272/j.issn.2095-8137.2020.065.