Onco-STS: a web-based laboratory information management system for sample and analysis tracking in oncogenomic experiments.

Q2 Decision Sciences
Source Code for Biology and Medicine Pub Date : 2014-12-05 eCollection Date: 2014-01-01 DOI:10.1186/s13029-014-0025-z
Mike Gavrielides, Simon J Furney, Tim Yates, Crispin J Miller, Richard Marais
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引用次数: 0

Abstract

Background: Whole genomes, whole exomes and transcriptomes of tumour samples are sequenced routinely to identify the drivers of cancer. The systematic sequencing and analysis of tumour samples, as well other oncogenomic experiments, necessitates the tracking of relevant sample information throughout the investigative process. These meta-data of the sequencing and analysis procedures include information about the samples and projects as well as the sequencing centres, platforms, data locations, results locations, alignments, analysis specifications and further information relevant to the experiments.

Results: The current work presents a sample tracking system for oncogenomic studies (Onco-STS) to store these data and make them easily accessible to the researchers who work with the samples. The system is a web application, which includes a database and a front-end web page that allows the remote access, submission and updating of the sample data in the database. The web application development programming framework Grails was used for the development and implementation of the system.

Conclusions: The resulting Onco-STS solution is efficient, secure and easy to use and is intended to replace the manual data handling of text records. Onco-STS allows simultaneous remote access to the system making collaboration among researchers more effective. The system stores both information on the samples in oncogenomic studies and details of the analyses conducted on the resulting data. Onco-STS is based on open-source software, is easy to develop and can be modified according to a research group's needs. Hence it is suitable for laboratories that do not require a commercial system.

Abstract Image

Onco-STS:基于网络的实验室信息管理系统,用于肿瘤基因组实验中的样本和分析跟踪。
背景:对肿瘤样本的全基因组、全外显子组和转录组进行常规测序,以确定癌症的驱动因素。肿瘤样本的系统测序和分析以及其他肿瘤基因组实验需要在整个研究过程中跟踪相关样本信息。这些测序和分析程序的元数据包括样本和项目信息,以及测序中心、平台、数据位置、结果位置、排列、分析规格和与实验相关的其他信息:目前的工作提出了一个肿瘤基因组研究样本跟踪系统(Onco-STS),用于存储这些数据,并使处理样本的研究人员能够方便地访问这些数据。该系统是一个网络应用程序,包括一个数据库和一个前端网页,允许远程访问、提交和更新数据库中的样本数据。该系统的开发和实施使用了网络应用程序开发编程框架 Grails:Onco-STS 解决方案高效、安全、易于使用,旨在取代文本记录的人工数据处理。Onco-STS 允许同时远程访问系统,使研究人员之间的合作更加有效。该系统既能存储肿瘤基因组研究中的样本信息,也能存储对所得数据进行分析的详细信息。Onco-STS 基于开源软件,易于开发,可根据研究小组的需要进行修改。因此,它适用于不需要商业系统的实验室。
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来源期刊
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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