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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...

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Detalles Bibliográficos
Autores principales: Ding, Yiqing, Li, Jingwei, Li, Tianmin, Deng, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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