Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies

Proportion of cancerous cells in a tumor sample, known as "tumor purity", is a major source of confounding factor in cancer data analyses. Lots of computational methods are available for estimating tumor purity from different types of genomics data or based on different platforms, which ma...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Nana Wei, Hanwen Zhu, Chun Li, Xiaoqi Zheng
Formato: article
Lenguaje:EN
Publicado: AIMS Press 2021
Materias:
Acceso en línea:https://doaj.org/article/40351e5ffa674548b5f05bd56ff7f17d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:40351e5ffa674548b5f05bd56ff7f17d
record_format dspace
spelling oai:doaj.org-article:40351e5ffa674548b5f05bd56ff7f17d2021-11-29T02:49:09ZPurimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies10.3934/mbe.20214411551-0018https://doaj.org/article/40351e5ffa674548b5f05bd56ff7f17d2021-10-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021441?viewType=HTMLhttps://doaj.org/toc/1551-0018Proportion of cancerous cells in a tumor sample, known as "tumor purity", is a major source of confounding factor in cancer data analyses. Lots of computational methods are available for estimating tumor purity from different types of genomics data or based on different platforms, which makes it difficult to compare and integrate the estimated results. To rectify the deviation caused by tumor purity effect, a number of methods for downstream data analysis have been developed, including tumor sample clustering, association study and differential methylation between tumor samples. However, using these computational tools remains a daunting task for many researchers since they require non-trivial computational skills. To this end, we present Purimeth, an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies. Purimeth implements three state-of-the-art methods for tumor purity estimation from DNA methylation array data: InfiniumPurify, MEpurity and PAMES. It also provides graphical interface for various analyses including differential methylation (DM), sample clustering, and purification of tumor methylomes, all with the consideration of tumor purities. In addition, Purimeth catalogs estimated tumor purities for TCGA samples from nine methods for users to visualize and explore. In conclusion, Purimeth provides an easy-operated way for researchers to explore tumor purity and implement cancer methylation data analysis. It is developed using Shiny (Version 1.6.0) and freely available at http://purimeth.comp-epi.com/.Nana WeiHanwen Zhu Chun Li Xiaoqi ZhengAIMS Pressarticletumor puritydifferential methylationtumor sample clusteringdna methylation analysiswebserverBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 8951-8961 (2021)
institution DOAJ
collection DOAJ
language EN
topic tumor purity
differential methylation
tumor sample clustering
dna methylation analysis
webserver
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle tumor purity
differential methylation
tumor sample clustering
dna methylation analysis
webserver
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Nana Wei
Hanwen Zhu
Chun Li
Xiaoqi Zheng
Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies
description Proportion of cancerous cells in a tumor sample, known as "tumor purity", is a major source of confounding factor in cancer data analyses. Lots of computational methods are available for estimating tumor purity from different types of genomics data or based on different platforms, which makes it difficult to compare and integrate the estimated results. To rectify the deviation caused by tumor purity effect, a number of methods for downstream data analysis have been developed, including tumor sample clustering, association study and differential methylation between tumor samples. However, using these computational tools remains a daunting task for many researchers since they require non-trivial computational skills. To this end, we present Purimeth, an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies. Purimeth implements three state-of-the-art methods for tumor purity estimation from DNA methylation array data: InfiniumPurify, MEpurity and PAMES. It also provides graphical interface for various analyses including differential methylation (DM), sample clustering, and purification of tumor methylomes, all with the consideration of tumor purities. In addition, Purimeth catalogs estimated tumor purities for TCGA samples from nine methods for users to visualize and explore. In conclusion, Purimeth provides an easy-operated way for researchers to explore tumor purity and implement cancer methylation data analysis. It is developed using Shiny (Version 1.6.0) and freely available at http://purimeth.comp-epi.com/.
format article
author Nana Wei
Hanwen Zhu
Chun Li
Xiaoqi Zheng
author_facet Nana Wei
Hanwen Zhu
Chun Li
Xiaoqi Zheng
author_sort Nana Wei
title Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies
title_short Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies
title_full Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies
title_fullStr Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies
title_full_unstemmed Purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer DNA methylation studies
title_sort purimeth: an integrated web-based tool for estimating and accounting for tumor purity in cancer dna methylation studies
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/40351e5ffa674548b5f05bd56ff7f17d
work_keys_str_mv AT nanawei purimethanintegratedwebbasedtoolforestimatingandaccountingfortumorpurityincancerdnamethylationstudies
AT hanwenzhu purimethanintegratedwebbasedtoolforestimatingandaccountingfortumorpurityincancerdnamethylationstudies
AT chunli purimethanintegratedwebbasedtoolforestimatingandaccountingfortumorpurityincancerdnamethylationstudies
AT xiaoqizheng purimethanintegratedwebbasedtoolforestimatingandaccountingfortumorpurityincancerdnamethylationstudies
_version_ 1718407639458643968