 |
| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| A ChIP-Seq Data Analysis Pipeline Based on Bioconductor Packages |
| Seung-Jin Park, Jong-Hwan Kim, Byung-Ha Yoon, Seon-Young Kim |
|
Genomics Inform. 2017;15(1):11-18. Published online March 29, 2017 DOI: https://doi.org/10.5808/GI.2017.15.1.11 |
|
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 Analysis of ChIP-seq Data in R/Bioconductor Methods in Molecular Biology. 2017;195-226 csaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows Nucleic Acids Research. 2015;44(5):e45-e45 From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data F1000Research. 2016;4:1080 From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data F1000Research. 2015;4:1080 Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data Genes. 2010;1(2):317-334 RiboProfiling: a Bioconductor package for standard Ribo-seq pipeline processing F1000Research. 2016;5:1309 Analysis of ChIP-Seq and RNA-Seq Data with BioWardrobe Gene Expression Analysis. 2018;343-360 A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor F1000Research. 2016;5:2122 |
