Galaksio, a user friendly workflow-centric front end for Galaxy

T. Klingström, R. Hernández-de-Diego, Théo Collard, E. Bongcam-Rudloff
{"title":"Galaksio, a user friendly workflow-centric front end for Galaxy","authors":"T. Klingström, R. Hernández-de-Diego, Théo Collard, E. Bongcam-Rudloff","doi":"10.14806/EJ.23.0.897","DOIUrl":null,"url":null,"abstract":"There is a severe shortage of statisticians and bioinformaticians available in research. As universities fail to cover the increasing need of graduates with the necessary skills, ad hoc training and workshops have become commonplace but are insufficient to cover the needs. Technical solutions that distribute the workload more efficiently between researchers with a different education background (e.g., computer scientists and biologists) are therefore necessary to cover some of this shortage. Galaksio provides a workflow-centric graphical user interface for the Galaxy Workflow Management system easy to use for biologists and medical researchers who need to run routine tasks in bioinformatics. Combined with back end tools such as BioBlend, CloudMan and Pulsar, Galaksio provides a novel, layered approach to Galaxy making it easier to divide research tasks to researchers depending on their skills in interdisciplinary subjects such as bioinformatics and computational science. Galaksio is developed by the B3Africa project for the eB3Kit but functions as a stand-alone server that can be configured for to be connected to any Galaxy server using the Galaxy API. Galaksio can be downloaded at: https://github.com/fikipollo/galaksio .","PeriodicalId":72893,"journal":{"name":"EMBnet.journal","volume":"10 1","pages":"897"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EMBnet.journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14806/EJ.23.0.897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

There is a severe shortage of statisticians and bioinformaticians available in research. As universities fail to cover the increasing need of graduates with the necessary skills, ad hoc training and workshops have become commonplace but are insufficient to cover the needs. Technical solutions that distribute the workload more efficiently between researchers with a different education background (e.g., computer scientists and biologists) are therefore necessary to cover some of this shortage. Galaksio provides a workflow-centric graphical user interface for the Galaxy Workflow Management system easy to use for biologists and medical researchers who need to run routine tasks in bioinformatics. Combined with back end tools such as BioBlend, CloudMan and Pulsar, Galaksio provides a novel, layered approach to Galaxy making it easier to divide research tasks to researchers depending on their skills in interdisciplinary subjects such as bioinformatics and computational science. Galaksio is developed by the B3Africa project for the eB3Kit but functions as a stand-alone server that can be configured for to be connected to any Galaxy server using the Galaxy API. Galaksio can be downloaded at: https://github.com/fikipollo/galaksio .
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
Galaksio,一个用户友好的工作流程为中心的前端Galaxy
从事研究的统计学家和生物信息学家严重短缺。由于大学无法满足对具有必要技能的毕业生日益增长的需求,临时培训和讲习班变得司空见惯,但不足以满足需求。因此,在具有不同教育背景的研究人员(例如,计算机科学家和生物学家)之间更有效地分配工作量的技术解决方案是必要的,以弥补这一短缺。Galaksio为Galaxy工作流管理系统提供了一个以工作流为中心的图形用户界面,便于需要在生物信息学中运行常规任务的生物学家和医学研究人员使用。与BioBlend、CloudMan和Pulsar等后端工具相结合,Galaksio为Galaxy提供了一种新颖的、分层的方法,使研究人员更容易根据他们在生物信息学和计算科学等跨学科学科的技能来划分研究任务。Galaksio是由B3Africa项目为eB3Kit开发的,但其功能是作为一个独立的服务器,可以配置为使用Galaxy API连接到任何Galaxy服务器。Galaksio可以在https://github.com/fikipollo/galaksio下载。
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
自引率
0.00%
发文量
0
期刊最新文献
Milk exosomes and a new way of communication between mother and child Exosomal Epigenetics Fingerprinting Breast Milk; insights into Milk Exosomics Ds-Seq: An Integrated Pipeline for In Silico Small RNA Se-quence Analysis for Host-pathogen Interaction Studies The Intersection of Artificial Intelligence and Precision Endocrinology.
×
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:604180095
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