A step-by-step guide to analyzing CAGE data using R/Bioconductor
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A step-by-step guide to analyzing CAGE data using R/Bioconductor. / Thodberg, Malte; Sandelin, Albin.
In: F1000Research, Vol. 8, 886, 18.06.2019.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A step-by-step guide to analyzing CAGE data using R/Bioconductor
AU - Thodberg, Malte
AU - Sandelin, Albin
PY - 2019/6/18
Y1 - 2019/6/18
N2 - Cap Analysis of Gene Expression (CAGE) is one of the most popular 5'-end sequencing methods. In a single experiment, CAGE can be used to locate and quantify the expression of both Transcription Start Sites (TSSs) and enhancers. This is workflow is a case study on how to use the CAGEfightR package to orchestrate analysis of CAGE data within the Bioconductor project. This workflow starts from BigWig-files and covers both basic CAGE analyses such as identifying, quantifying and annotating TSSs and enhancers, advanced analysis such as finding interacting TSS-enhancer pairs and enhancer clusters, to differential expression analysis and alternative TSS usage. R-code, discussion and references are intertwined to help provide guidelines for future CAGE studies of the same kind.
AB - Cap Analysis of Gene Expression (CAGE) is one of the most popular 5'-end sequencing methods. In a single experiment, CAGE can be used to locate and quantify the expression of both Transcription Start Sites (TSSs) and enhancers. This is workflow is a case study on how to use the CAGEfightR package to orchestrate analysis of CAGE data within the Bioconductor project. This workflow starts from BigWig-files and covers both basic CAGE analyses such as identifying, quantifying and annotating TSSs and enhancers, advanced analysis such as finding interacting TSS-enhancer pairs and enhancer clusters, to differential expression analysis and alternative TSS usage. R-code, discussion and references are intertwined to help provide guidelines for future CAGE studies of the same kind.
U2 - 10.12688/f1000research.18456.1
DO - 10.12688/f1000research.18456.1
M3 - Journal article
C2 - 31327999
VL - 8
JO - F1000Research
JF - F1000Research
SN - 2046-1402
M1 - 886
ER -
ID: 224945711