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A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments

Here, we present a quick-start protocol to perform generalized gene-set analysis of GWAS data on a metaset of gene lists generated by upstream pipelines, such as differential expression analysis, using the Multi-marker Analysis of GenoMic Annotation (MAGMA) software package and Hi-C coupled H-MAGMA...

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Detalles Bibliográficos
Autor principal: Zhang, Siwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761752/
https://www.ncbi.nlm.nih.gov/pubmed/35072112
http://dx.doi.org/10.1016/j.xpro.2021.101083
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author Zhang, Siwei
author_facet Zhang, Siwei
author_sort Zhang, Siwei
collection PubMed
description Here, we present a quick-start protocol to perform generalized gene-set analysis of GWAS data on a metaset of gene lists generated by upstream pipelines, such as differential expression analysis, using the Multi-marker Analysis of GenoMic Annotation (MAGMA) software package and Hi-C coupled H-MAGMA annotation data (de Leeuw et al., 2015; Sey et al., 2020). We specifically tailor the steps and operations to meet the multithreading capability in modern computers, a feature nowadays shared by personal computers and high-performance clusters alike. For complete details on the use and execution of this profile, please refer to Yao et al. (2021).
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spelling pubmed-87617522022-01-20 A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments Zhang, Siwei STAR Protoc Protocol Here, we present a quick-start protocol to perform generalized gene-set analysis of GWAS data on a metaset of gene lists generated by upstream pipelines, such as differential expression analysis, using the Multi-marker Analysis of GenoMic Annotation (MAGMA) software package and Hi-C coupled H-MAGMA annotation data (de Leeuw et al., 2015; Sey et al., 2020). We specifically tailor the steps and operations to meet the multithreading capability in modern computers, a feature nowadays shared by personal computers and high-performance clusters alike. For complete details on the use and execution of this profile, please refer to Yao et al. (2021). Elsevier 2022-01-11 /pmc/articles/PMC8761752/ /pubmed/35072112 http://dx.doi.org/10.1016/j.xpro.2021.101083 Text en © 2021 The Author https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Zhang, Siwei
A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments
title A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments
title_full A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments
title_fullStr A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments
title_full_unstemmed A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments
title_short A simplified protocol for performing MAGMA/H-MAGMA gene set analysis utilizing high-performance computing environments
title_sort simplified protocol for performing magma/h-magma gene set analysis utilizing high-performance computing environments
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761752/
https://www.ncbi.nlm.nih.gov/pubmed/35072112
http://dx.doi.org/10.1016/j.xpro.2021.101083
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