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PROGgeneV2:现有数据库的增强功能。

PROGgeneV2: enhancements on the existing database.

作者信息

Goswami Chirayu Pankaj, Nakshatri Harikrishna

机构信息

Clinical Genomics, Thomas Jefferson University Hospitals, 1025 Walnut St, Suite 411, Philadelphia, PA 19128, USA.

出版信息

BMC Cancer. 2014 Dec 17;14:970. doi: 10.1186/1471-2407-14-970.

Abstract

BACKGROUND

We recently published PROGgene, a tool that can be used to study prognostic implications of genes in various cancers. The first version of the tool had several areas for improvement. In this paper we present some major enhancements we have made on the existing tool in the new version, PROGgeneV2.

RESULTS

In PROGgeneV2, we have made several modifications to enhance survival analysis capability of the tool. First, we have increased the repository of public studies catalogued in our tool by almost two folds. We have also added additional functionalities to perform survival analysis in a variety of new ways. Survival analysis can now be performed on a) single genes b) multiple genes as a signature, c) ratio of expression of two genes, and d) curated/published gene signatures in new version. Users can now also adjust the survival analysis models for available covariates. Users can study prognostic implications of entire gene signatures in different cancer types, which are searchable by keywords. Also, unique to our tool, in the new version, users will be able to upload and use their own datasets to perform survival analysis on genes of interest.

CONCLUSIONS

We believe, like its predecessor, PROGGeneV2 will continue to be useful for the scientific community for formulating research hypotheses and designing mechanistic studies. With added datasets PROGgeneV2 is the most comprehensive survival analysis tool available. PROGgeneV2 is available at http://www.compbio.iupui.edu/proggene.

摘要

背景

我们最近发布了PROGgene,这是一种可用于研究基因在各种癌症中的预后意义的工具。该工具的第一个版本有几个需要改进的地方。在本文中,我们展示了在新版本PROGgeneV2中对现有工具所做的一些主要改进。

结果

在PROGgeneV2中,我们进行了多项修改以增强该工具的生存分析能力。首先,我们将工具中编目的公共研究库增加了近两倍。我们还添加了其他功能,以多种新方式进行生存分析。现在可以对以下内容进行生存分析:a)单个基因;b)作为一个特征的多个基因;c)两个基因的表达比;d)新版本中经过整理/发表的基因特征。用户现在还可以针对可用的协变量调整生存分析模型。用户可以研究不同癌症类型中整个基因特征的预后意义,这些可以通过关键词进行搜索。此外,我们工具的新版本独有的是,用户将能够上传并使用自己的数据集对感兴趣的基因进行生存分析。

结论

我们相信,与它的前身一样,PROGGeneV2将继续对科学界制定研究假设和设计机制研究有用。通过添加数据集,PROGgeneV2是目前可用的最全面的生存分析工具。可通过http://www.compbio.iupui.edu/proggene获取PROGgeneV2。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4051/4300843/90f4668e3da8/12885_2014_5146_Fig1_HTML.jpg

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