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Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network
Transcriptomic data and ChIP-seq data from bacteria are systematically analyzed and efficiently combined. We describe the software environment for analysis and the download and installation methods. Furthermore, we describe the analytical process and present the corresponding mini-test data, which c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209869/ https://www.ncbi.nlm.nih.gov/pubmed/37210720 http://dx.doi.org/10.1016/j.xpro.2023.102322 |
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author | Ding, Yiqing Li, Jingwei Li, Tianmin Deng, Xin |
author_facet | Ding, Yiqing Li, Jingwei Li, Tianmin Deng, Xin |
author_sort | Ding, Yiqing |
collection | PubMed |
description | Transcriptomic data and ChIP-seq data from bacteria are systematically analyzed and efficiently combined. We describe the software environment for analysis and the download and installation methods. Furthermore, we describe the analytical process and present the corresponding mini-test data, which can be conveniently restored and reproduced by users. Moreover, we provide the script for data consolidation, which allows multiple files to be rapidly merged. Overall, this protocol presents software parameters, R codes, and in-house Perl scripts for analyzing bacterial multi-omics data. For complete details on the use and execution of this protocol, please refer to Xin et al. |
format | Online Article Text |
id | pubmed-10209869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102098692023-05-26 Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network Ding, Yiqing Li, Jingwei Li, Tianmin Deng, Xin STAR Protoc Protocol Transcriptomic data and ChIP-seq data from bacteria are systematically analyzed and efficiently combined. We describe the software environment for analysis and the download and installation methods. Furthermore, we describe the analytical process and present the corresponding mini-test data, which can be conveniently restored and reproduced by users. Moreover, we provide the script for data consolidation, which allows multiple files to be rapidly merged. Overall, this protocol presents software parameters, R codes, and in-house Perl scripts for analyzing bacterial multi-omics data. For complete details on the use and execution of this protocol, please refer to Xin et al. Elsevier 2023-05-19 /pmc/articles/PMC10209869/ /pubmed/37210720 http://dx.doi.org/10.1016/j.xpro.2023.102322 Text en © 2023 The Author(s) 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 Ding, Yiqing Li, Jingwei Li, Tianmin Deng, Xin Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network |
title | Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network |
title_full | Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network |
title_fullStr | Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network |
title_full_unstemmed | Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network |
title_short | Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network |
title_sort | protocol for integrated analysis of bacterial rna-seq and chip-seq data for establishing a co-expression network |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209869/ https://www.ncbi.nlm.nih.gov/pubmed/37210720 http://dx.doi.org/10.1016/j.xpro.2023.102322 |
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