Malandrino Delfina, Manno Ilaria, Negro Alberto, Petta Andrea, Serra Luigi, Cantarella Concita, Scarano Vittorio
Dipartimento di Informatica, Università degli Studi di Salerno, Via Giovanni Paolo II, Fisciano (SA), Italy.
2Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria, Pontecagnano (SA), Salerno, Italy.
Source Code Biol Med. 2019 Jul 8;14:4. doi: 10.1186/s13029-019-0074-4. eCollection 2019.
Next-generation sequencing (NGS) technologies have revolutionarily reshaped the landscape of '-omics' research areas. They produce a plethora of information requiring specific knowledge in sample preparation, analysis and characterization. Additionally, expertise and competencies are required when using bioinformatics tools and methods for efficient analysis, interpretation, and visualization of data. These skills are rarely covered in a single laboratory. More often the samples are isolated and purified in a first laboratory, sequencing is performed by a private company or a specialized lab, while the produced data are analyzed by a third group of researchers. In this scenario, the support, the communication, and the information sharing among researchers represent the key points to build a common knowledge and to meet the project objectives.
We present ElGalaxy, a system designed and developed to support collaboration and information sharing among researchers. Specifically, we integrated collaborative functionalities within an application usually adopted by Life Science researchers. ElGalaxy, therefore, is the result of the integration of Galaxy, i.e., a Workflow Management System, with Elgg, i.e., a Social Network Engine.
ElGalaxy enables scientists, that work on the same experiment, to collaborate and share information, to discuss about methods, and to evaluate results of the individual steps, as well as of entire activities, performed during their experiments. ElGalaxy also allows a greater team awareness, especially when experiments are carried out with researchers which belong to different and distributed research centers.
下一代测序(NGS)技术彻底改变了“组学”研究领域的格局。它们产生了大量信息,这需要在样品制备、分析和表征方面具备特定知识。此外,在使用生物信息学工具和方法对数据进行有效分析、解释和可视化时,还需要专业知识和技能。这些技能很少在单个实验室中涵盖。通常,样品在第一个实验室中进行分离和纯化,测序由私人公司或专业实验室进行,而产生的数据则由第三组研究人员进行分析。在这种情况下,研究人员之间的支持、沟通和信息共享是建立共同知识和实现项目目标的关键点。
我们展示了ElGalaxy,这是一个为支持研究人员之间的协作和信息共享而设计和开发的系统。具体来说,我们在生命科学研究人员通常采用的应用程序中集成了协作功能。因此,ElGalaxy是Galaxy(即工作流管理系统)与Elgg(即社交网络引擎)集成的结果。
ElGalaxy使从事同一实验的科学家能够协作和共享信息,讨论方法,并评估他们在实验过程中执行的各个步骤以及整个活动的结果。ElGalaxy还能提高团队意识,特别是当与来自不同和分散研究中心的研究人员进行实验时。