• 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

拉尼亚凯亚@ReCaS:探索可定制 Galaxy 按需实例作为云服务的潜力。

Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service.

机构信息

Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR), Via Giovanni Amendola 122/O, 70126, Bari, Italy.

National Institute for Nuclear Physics (INFN), Section of Bari, Via Orabona 4, 70126, Bari, Italy.

出版信息

BMC Bioinformatics. 2021 Nov 8;22(Suppl 15):544. doi: 10.1186/s12859-021-04401-3.

DOI:10.1186/s12859-021-04401-3
PMID:34749633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8574934/
Abstract

BACKGROUND

Improving the availability and usability of data and analytical tools is a critical precondition for further advancing modern biological and biomedical research. For instance, one of the many ramifications of the COVID-19 global pandemic has been to make even more evident the importance of having bioinformatics tools and data readily actionable by researchers through convenient access points and supported by adequate IT infrastructures. One of the most successful efforts in improving the availability and usability of bioinformatics tools and data is represented by the Galaxy workflow manager and its thriving community. In 2020 we introduced Laniakea, a software platform conceived to streamline the configuration and deployment of "on-demand" Galaxy instances over the cloud. By facilitating the set-up and configuration of Galaxy web servers, Laniakea provides researchers with a powerful and highly customisable platform for executing complex bioinformatics analyses. The system can be accessed through a dedicated and user-friendly web interface that allows the Galaxy web server's initial configuration and deployment.

RESULTS

"Laniakea@ReCaS", the first instance of a Laniakea-based service, is managed by ELIXIR-IT and was officially launched in February 2020, after about one year of development and testing that involved several users. Researchers can request access to Laniakea@ReCaS through an open-ended call for use-cases. Ten project proposals have been accepted since then, totalling 18 Galaxy on-demand virtual servers that employ ~ 100 CPUs, ~ 250 GB of RAM and ~ 5 TB of storage and serve several different communities and purposes. Herein, we present eight use cases demonstrating the versatility of the platform.

CONCLUSIONS

During this first year of activity, the Laniakea-based service emerged as a flexible platform that facilitated the rapid development of bioinformatics tools, the efficient delivery of training activities, and the provision of public bioinformatics services in different settings, including food safety and clinical research. Laniakea@ReCaS provides a proof of concept of how enabling access to appropriate, reliable IT resources and ready-to-use bioinformatics tools can considerably streamline researchers' work.

摘要

背景

提高数据和分析工具的可用性和易用性是进一步推进现代生物和生物医学研究的关键前提。例如,COVID-19 全球大流行的众多结果之一是,使研究人员更容易通过便捷的访问点获得生物信息学工具和数据,并通过充足的 IT 基础设施支持,使这些工具和数据更具可操作性。提高生物信息学工具和数据的可用性和易用性的最成功的努力之一是 Galaxy 工作流管理器及其蓬勃发展的社区。2020 年,我们引入了 Laniakea,这是一个软件平台,旨在简化通过云配置和部署“按需”Galaxy 实例。通过促进 Galaxy 网络服务器的设置和配置,Laniakea 为研究人员提供了一个强大且高度可定制的平台,用于执行复杂的生物信息学分析。该系统可通过专用且用户友好的网络界面访问,该界面允许对 Galaxy 网络服务器进行初始配置和部署。

结果

“Laniakea@ReCaS”是基于 Laniakea 的服务的第一个实例,由 ELIXIR-IT 管理,并于 2020 年 2 月正式推出,此前经过大约一年的开发和测试,涉及到几个用户。研究人员可以通过开放式使用案例请求访问 Laniakea@ReCaS。自那时以来,已经接受了十个项目提案,总计 18 个 Galaxy 按需虚拟服务器,使用了大约 100 个 CPU、250GB 的 RAM 和 5TB 的存储,并为多个不同的社区和用途提供服务。在此,我们展示了八个用例,展示了该平台的多功能性。

结论

在第一年的活动中,基于 Laniakea 的服务已成为一个灵活的平台,便于快速开发生物信息学工具、高效交付培训活动,并在不同环境中提供公共生物信息学服务,包括食品安全和临床研究。Laniakea@ReCaS 提供了一个概念验证,即如何使研究人员能够访问适当、可靠的 IT 资源和即用型生物信息学工具,可以极大地简化他们的工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/521ebf8f8516/12859_2021_4401_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/36c2dd703a50/12859_2021_4401_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/a9304a1aac51/12859_2021_4401_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/521ebf8f8516/12859_2021_4401_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/36c2dd703a50/12859_2021_4401_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/a9304a1aac51/12859_2021_4401_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7672/8576942/521ebf8f8516/12859_2021_4401_Fig3_HTML.jpg

相似文献

1
Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service.拉尼亚凯亚@ReCaS:探索可定制 Galaxy 按需实例作为云服务的潜力。
BMC Bioinformatics. 2021 Nov 8;22(Suppl 15):544. doi: 10.1186/s12859-021-04401-3.
2
Laniakea: an open solution to provide Galaxy "on-demand" instances over heterogeneous cloud infrastructures.拉尼亚凯亚超星系团:一种提供 Galaxy“按需”实例的开放式解决方案,可在异构云基础架构上使用。
Gigascience. 2020 Apr 1;9(4). doi: 10.1093/gigascience/giaa033.
3
Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.借助拉尼亚凯亚仪表盘实现生物信息学云服务的动态配置与数据安全。
NAR Genom Bioinform. 2024 Oct 10;6(4):lqae140. doi: 10.1093/nargab/lqae140. eCollection 2024 Sep.
4
Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud.基因组学虚拟实验室:面向云端的实用生物信息学工作台。
PLoS One. 2015 Oct 26;10(10):e0140829. doi: 10.1371/journal.pone.0140829. eCollection 2015.
5
ReGaTE: Registration of Galaxy Tools in Elixir.ReGaTE:Elixir中Galaxy工具的注册。
Gigascience. 2017 Jun 1;6(6):1-4. doi: 10.1093/gigascience/gix022.
6
Tavaxy: integrating Taverna and Galaxy workflows with cloud computing support.Tavaxy:集成 Taverna 和 Galaxy 工作流并提供云计算支持。
BMC Bioinformatics. 2012 May 4;13:77. doi: 10.1186/1471-2105-13-77.
7
Cloud Computing with iPlant Atmosphere.与iPlant大气环境相关的云计算
Curr Protoc Bioinformatics. 2013 Oct 15;43:9.15.1-9.15.20. doi: 10.1002/0471250953.bi0915s43.
8
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update.Galaxy 平台:用于可访问、可重复和协作的生物医学分析:2022 更新。
Nucleic Acids Res. 2022 Jul 5;50(W1):W345-W351. doi: 10.1093/nar/gkac247.
9
Using cloud computing infrastructure with CloudBioLinux, CloudMan, and Galaxy.将云计算基础设施与CloudBioLinux、CloudMan和Galaxy一起使用。
Curr Protoc Bioinformatics. 2012 Jun;Chapter 11:11.9.1-11.9.20. doi: 10.1002/0471250953.bi1109s38.
10
ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community.ELIXIR-IT HPC@CINECA:生物信息学社区的高性能计算资源。
BMC Bioinformatics. 2020 Aug 21;21(Suppl 10):352. doi: 10.1186/s12859-020-03565-8.

引用本文的文献

1
Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.借助拉尼亚凯亚仪表盘实现生物信息学云服务的动态配置与数据安全。
NAR Genom Bioinform. 2024 Oct 10;6(4):lqae140. doi: 10.1093/nargab/lqae140. eCollection 2024 Sep.
2
A Case of Food-Borne Salmonellosis in a Corn Snake () after a Feeder Mouse Meal.一例玉米蛇在食用了一只作为饲料的小鼠后发生食源性沙门氏菌病的病例。
Animals (Basel). 2024 Jun 7;14(12):1722. doi: 10.3390/ani14121722.
3
Detection and Characterization of Zoonotic Pathogens in Game Meat Hunted in Northwestern Italy.

本文引用的文献

1
Want to track pandemic variants faster? Fix the bioinformatics bottleneck.想更快追踪新冠病毒变种?解决生物信息学瓶颈问题。
Nature. 2021 Mar;591(7848):30-33. doi: 10.1038/d41586-021-00525-x.
2
ELIXIR-EXCELERATE: establishing Europe's data infrastructure for the life science research of the future.ELIXIR-EXCELERATE:建立欧洲未来生命科学研究的数据基础设施。
EMBO J. 2021 Mar 15;40(6):e107409. doi: 10.15252/embj.2020107409. Epub 2021 Feb 9.
3
Characterization of Group Isolates From Human Bacteremia by Whole-Genome Sequencing.
意大利西北部猎获的野味中人畜共患病原体的检测与特征分析。
Animals (Basel). 2024 Feb 7;14(4):562. doi: 10.3390/ani14040562.
4
First Report of Food Poisoning Due to Staphylococcal Enterotoxin Type B in Döner Kebab (Italy).首例因食用含有B型葡萄球菌肠毒素的土耳其烤肉引发食物中毒的报告(意大利)
Pathogens. 2023 Sep 6;12(9):1139. doi: 10.3390/pathogens12091139.
通过全基因组测序对人类菌血症中的菌株进行特征分析。
Front Microbiol. 2021 Jan 12;11:599524. doi: 10.3389/fmicb.2020.599524. eCollection 2020.
4
Alarming COVID variants show vital role of genomic surveillance.令人担忧的新冠病毒变种凸显了基因组监测的重要作用。
Nature. 2021 Jan;589(7842):337-338. doi: 10.1038/d41586-021-00065-4.
5
Bioinformatics resources for SARS-CoV-2 discovery and surveillance.用于新冠病毒发现与监测的生物信息学资源。
Brief Bioinform. 2021 Mar 22;22(2):631-641. doi: 10.1093/bib/bbaa386.
6
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining.稀疏连接自动编码器(SCA)用于单细胞 RNAseq 数据挖掘。
NPJ Syst Biol Appl. 2021 Jan 5;7(1):1. doi: 10.1038/s41540-020-00162-6.
7
VINYL: Variant prIoritizatioN bY survivaL analysis.VINYL:通过生存分析进行变异优先级排序。
Bioinformatics. 2021 Apr 5;36(24):5590-5599. doi: 10.1093/bioinformatics/btaa1067.
8
CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes.CorGAT:一种用于新冠病毒基因组功能注释的工具。
Bioinformatics. 2021 Apr 1;36(22-23):5522-5523. doi: 10.1093/bioinformatics/btaa1047.
9
Next generation sequencing of SARS-CoV-2 genomes: challenges, applications and opportunities.下一代 SARS-CoV-2 基因组测序:挑战、应用和机遇。
Brief Bioinform. 2021 Mar 22;22(2):616-630. doi: 10.1093/bib/bbaa297.
10
ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community.ELIXIR-IT HPC@CINECA:生物信息学社区的高性能计算资源。
BMC Bioinformatics. 2020 Aug 21;21(Suppl 10):352. doi: 10.1186/s12859-020-03565-8.