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PROGgeneV2: enhancements on the existing database
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, PR...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300843/ https://www.ncbi.nlm.nih.gov/pubmed/25518851 http://dx.doi.org/10.1186/1471-2407-14-970 |
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author | Goswami, Chirayu Pankaj Nakshatri, Harikrishna |
author_facet | Goswami, Chirayu Pankaj Nakshatri, Harikrishna |
author_sort | Goswami, Chirayu Pankaj |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-970) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4300843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43008432015-01-22 PROGgeneV2: enhancements on the existing database Goswami, Chirayu Pankaj Nakshatri, Harikrishna BMC Cancer Software 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-970) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-17 /pmc/articles/PMC4300843/ /pubmed/25518851 http://dx.doi.org/10.1186/1471-2407-14-970 Text en © Goswami and Nakshatri; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Goswami, Chirayu Pankaj Nakshatri, Harikrishna PROGgeneV2: enhancements on the existing database |
title | PROGgeneV2: enhancements on the existing database |
title_full | PROGgeneV2: enhancements on the existing database |
title_fullStr | PROGgeneV2: enhancements on the existing database |
title_full_unstemmed | PROGgeneV2: enhancements on the existing database |
title_short | PROGgeneV2: enhancements on the existing database |
title_sort | proggenev2: enhancements on the existing database |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300843/ https://www.ncbi.nlm.nih.gov/pubmed/25518851 http://dx.doi.org/10.1186/1471-2407-14-970 |
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