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A web-based platform for mining pancreatic expression datasets.

机译:一个基于Web的平台,用于挖掘胰腺表达数据集。

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摘要

BACKGROUND AND AIMS: We have recently constructed the pancreatic expression database (http://www.pancreasexpression.org/). It is a freely available web-based tool that currently holds 7,636 gene expression measurements from various pancreatic cancer types, precursor lesions (PanINs) and chronic pancreatitis. It was constructed with the aim of enabling mining of the large body of publicly available genomic/proteomic data in the pancreatic field and thus furthering our understanding of the complex basis of pancreatic cancer within the realm of systems biology. METHODS AND RESULTS: Annotated, integrated pancreatic datasets were stored in a data management system based on the BioMart technology alongside public annotations. Within our first database report we incorporated 32 datasets and have also included several easy examples of its usage. We now provide further, more sophisticated query types that we hope will serve as a prototype for possible questions of interest that might be addressed in the pancreatic biology community. CONCLUSION: The systematic understanding of the pathobiology underlying pancreatic cancer initiation and progression is a prerequisite for devising timely diagnostic tools and successful drug target discovery. As the database is only as comprehensive as its contents and as user-friendly as its query engine, we invite the pancreatic biology community for feedback and submission of further datasets. and IAP.
机译:背景与目的:我们最近建立了胰腺表达数据库(http://www.pancreasexpression.org/)。它是可免费使用的基于Web的工具,目前可进行来自各种胰腺癌类型,前体病变(PanIN)和慢性胰腺炎的7,636个基因表达测量。它的构建旨在能够挖掘胰腺领域中大量可公开获得的基因组/蛋白质组数据,从而加深我们对系统生物学领域内胰腺癌复杂基础的理解。方法和结果:带注释的集成胰腺数据集与公共注释一起存储在基于BioMart技术的数据管理系统中。在我们的第一个数据库报告中,我们合并了32个数据集,并且还包含了几个简单的用法示例。现在,我们提供了更多,更复杂的查询类型,希望它们可以作为胰腺生物学界可能解决的感兴趣问题的原型。结论:对胰腺癌发生和发展的病理生物学系统的了解是设计及时诊断工具和成功发现药物靶标的前提。由于该数据库仅是其内容的全面性,而且还具有查询引擎的用户友好性,因此我们邀请胰腺生物学界提供反馈并提交进一步的数据集。和IAP。

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