Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.

IF 4 Q1 GENETICS & HEREDITY NAR Genomics and Bioinformatics Pub Date : 2024-10-10 eCollection Date: 2024-09-01 DOI:10.1093/nargab/lqae140
Marco Antonio Tangaro, Marica Antonacci, Giacinto Donvito, Nadina Foggetti, Pietro Mandreoli, Daniele Colombo, Graziano Pesole, Federico Zambelli
{"title":"Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.","authors":"Marco Antonio Tangaro, Marica Antonacci, Giacinto Donvito, Nadina Foggetti, Pietro Mandreoli, Daniele Colombo, Graziano Pesole, Federico Zambelli","doi":"10.1093/nargab/lqae140","DOIUrl":null,"url":null,"abstract":"<p><p>Technological advances in high-throughput technologies improve our ability to explore the molecular mechanisms of life. Computational infrastructures for scientific applications fulfil a critical role in harnessing this potential. However, there is an ongoing need to improve accessibility and implement robust data security technologies to allow the processing of sensitive data, particularly human genetic data. Scientific clouds have emerged as a promising solution to meet these needs. We present three components of the Laniakea software stack, initially developed to support the provision of private on-demand Galaxy instances. These components can be adopted by providers of scientific cloud services built on the INDIGO PaaS layer. The <i>Dashboard</i> translates configuration template files into user-friendly web interfaces, enabling the easy configuration and launch of on-demand applications. The <i>secret management</i> and the <i>encryption</i> components, integrated within the Dashboard, support the secure handling of passphrases and credentials and the deployment of block-level encrypted storage volumes for managing sensitive data in the cloud environment. By adopting these software components, scientific cloud providers can develop convenient, secure and efficient on-demand services for their users.</p>","PeriodicalId":33994,"journal":{"name":"NAR Genomics and Bioinformatics","volume":"6 4","pages":"lqae140"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11464921/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NAR Genomics and Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nargab/lqae140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Technological advances in high-throughput technologies improve our ability to explore the molecular mechanisms of life. Computational infrastructures for scientific applications fulfil a critical role in harnessing this potential. However, there is an ongoing need to improve accessibility and implement robust data security technologies to allow the processing of sensitive data, particularly human genetic data. Scientific clouds have emerged as a promising solution to meet these needs. We present three components of the Laniakea software stack, initially developed to support the provision of private on-demand Galaxy instances. These components can be adopted by providers of scientific cloud services built on the INDIGO PaaS layer. The Dashboard translates configuration template files into user-friendly web interfaces, enabling the easy configuration and launch of on-demand applications. The secret management and the encryption components, integrated within the Dashboard, support the secure handling of passphrases and credentials and the deployment of block-level encrypted storage volumes for managing sensitive data in the cloud environment. By adopting these software components, scientific cloud providers can develop convenient, secure and efficient on-demand services for their users.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用 Laniakea Dashboard 实现生物信息学云服务的动态配置和数据安全。
高通量技术的进步提高了我们探索生命分子机制的能力。用于科学应用的计算基础设施在利用这一潜力方面发挥了关键作用。然而,我们一直需要提高数据的可访问性,并实施强大的数据安全技术,以便能够处理敏感数据,尤其是人类基因数据。科学云已经成为满足这些需求的一种有前途的解决方案。我们介绍了 Laniakea 软件栈的三个组件,这些组件最初是为支持按需提供私人银河实例而开发的。建立在 INDIGO PaaS 层上的科学云服务提供商可以采用这些组件。控制面板可将配置模板文件转化为用户友好的网络界面,从而轻松配置和启动按需应用程序。集成在控制面板中的密文管理和加密组件支持安全处理口令和凭证,并支持部署块级加密存储卷,以便在云环境中管理敏感数据。通过采用这些软件组件,科学云提供商可以为用户开发便捷、安全和高效的按需服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.00
自引率
2.20%
发文量
95
审稿时长
15 weeks
期刊最新文献
Phenotype prediction in plants is improved by integrating large-scale transcriptomic datasets. AntiBody Sequence Database. Approximate nearest neighbor graph provides fast and efficient embedding with applications for large-scale biological data. Cell- and tissue-specific glycosylation pathways informed by single-cell transcriptomics. HiCrayon reveals distinct layers of multi-state 3D chromatin organization.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1