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| A ChIP-Seq Data Analysis Pipeline Based on Bioconductor Packages |
| Seung-Jin Park, Jong-Hwan Kim, Byung-Ha Yoon, Seon-Young Kim |
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Genomics Inform. 2017;15(1):11-18. Published online March 29, 2017 DOI: https://doi.org/10.5808/GI.2017.15.1.11 |
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A ChIP-Seq Data Analysis Pipeline Based on Bioconductor Packages Genomics & Informatics. 2017;15(1):11  A Computational Pipeline for Cross-Species Analysis of RNA-seq Data Using R and Bioconductor Bioinformatics and Biology Insights. 2015;9:BBI.S30884 csaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows Nucleic Acids Research. 2015;44(5):e45-e45 Analysis of ChIP-seq Data in R/Bioconductor Methods in Molecular Biology. 2017;195-226 From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data F1000Research. 2015;4:1080 From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data F1000Research. 2016;4:1080 Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data Genes. 2010;1(2):317-334 Data Analysis of ChIP-Seq Experiments Computational Epigenetics and Diseases. 2019;67-77 ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data BMC Bioinformatics. 2010;11(1): RiboProfiling: a Bioconductor package for standard Ribo-seq pipeline processing F1000Research. 2016;5:1309 |
