A Web Tool for Consensus Gene Regulatory Network Construction

Gene regulatory network (GRN) construction involves various steps of complex computational steps. This step-by-step procedure requires prior knowledge of programming languages such as R. Development of a web tool may reduce this complexity in the analysis steps which can be easy accessible for the u...

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Autores principales: Chiranjib Sarkar, Rajender Parsad, Dwijesh C. Mishra, Anil Rai
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/1153465da3a94f7b89f7b714f6ddf53e
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spelling oai:doaj.org-article:1153465da3a94f7b89f7b714f6ddf53e2021-11-30T18:28:15ZA Web Tool for Consensus Gene Regulatory Network Construction1664-802110.3389/fgene.2021.745827https://doaj.org/article/1153465da3a94f7b89f7b714f6ddf53e2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.745827/fullhttps://doaj.org/toc/1664-8021Gene regulatory network (GRN) construction involves various steps of complex computational steps. This step-by-step procedure requires prior knowledge of programming languages such as R. Development of a web tool may reduce this complexity in the analysis steps which can be easy accessible for the user. In this study, a web tool for constructing consensus GRN by combining the outcomes obtained from four methods, namely, correlation, principal component regression, partial least square, and ridge regression, has been developed. We have designed the web tool with an interactive and user-friendly web page using the php programming language. We have used R script for the analysis steps which run in the background of the user interface. Users can upload gene expression data for constructing consensus GRN. The output obtained from analysis will be available in downloadable form in the result window of the web tool.Chiranjib SarkarRajender ParsadDwijesh C. MishraAnil RaiFrontiers Media S.A.articleweb toolPHPfisher’s weighted methodconsensus approachgene regulatory networkGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic web tool
PHP
fisher’s weighted method
consensus approach
gene regulatory network
Genetics
QH426-470
spellingShingle web tool
PHP
fisher’s weighted method
consensus approach
gene regulatory network
Genetics
QH426-470
Chiranjib Sarkar
Rajender Parsad
Dwijesh C. Mishra
Anil Rai
A Web Tool for Consensus Gene Regulatory Network Construction
description Gene regulatory network (GRN) construction involves various steps of complex computational steps. This step-by-step procedure requires prior knowledge of programming languages such as R. Development of a web tool may reduce this complexity in the analysis steps which can be easy accessible for the user. In this study, a web tool for constructing consensus GRN by combining the outcomes obtained from four methods, namely, correlation, principal component regression, partial least square, and ridge regression, has been developed. We have designed the web tool with an interactive and user-friendly web page using the php programming language. We have used R script for the analysis steps which run in the background of the user interface. Users can upload gene expression data for constructing consensus GRN. The output obtained from analysis will be available in downloadable form in the result window of the web tool.
format article
author Chiranjib Sarkar
Rajender Parsad
Dwijesh C. Mishra
Anil Rai
author_facet Chiranjib Sarkar
Rajender Parsad
Dwijesh C. Mishra
Anil Rai
author_sort Chiranjib Sarkar
title A Web Tool for Consensus Gene Regulatory Network Construction
title_short A Web Tool for Consensus Gene Regulatory Network Construction
title_full A Web Tool for Consensus Gene Regulatory Network Construction
title_fullStr A Web Tool for Consensus Gene Regulatory Network Construction
title_full_unstemmed A Web Tool for Consensus Gene Regulatory Network Construction
title_sort web tool for consensus gene regulatory network construction
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/1153465da3a94f7b89f7b714f6ddf53e
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