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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |
_version_ | 1784633602180382720 |
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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). |
format | Online Article Text |
id | pubmed-8761752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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