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Fig. 1 | BMC Bioinformatics

Fig. 1

From: CAGEfightR: analysis of 5′-end data using R/Bioconductor

Fig. 1

Introduction to CAGEfightR. a: Overview of CAGEfightR analysis steps: CAGEfightR can import CTSSs (the number of tag 5′-ends mapping to each bp position) and calculate a pooled CTSSs signal across all samples (top). The pooled CTSSs signal on the same strand can be used to identify unidirectional or Tag Clusters (TCs) which corresponds to groups of nearby TSSs or bidirectional clusters (BCs) which are candidate enhancers (middle). TCs can furthermore be assigned to genes using annotated gene models and summed to provide an estimate of gene expression (bottom). Each of these levels of analysis is associated with an expression matrix (right). The names of used CAGEfightR functions for respective analyses are highlighted. b: Example of unidirectional clustering. The bottom track shows the pooled CTSS signal (pooled TPM) at each bp along the genome. Middle track shows a Tag Cluster (TC) based on the CTSS data below as a block, where the position with the highest pooled CTSS signal is indicated (TC peak). The top track shows UCSC transcripts models (lines/thin blocks/thick blocks are intronic/UTR/CDS regions, respectively). c: Example of bidirectional clustering to predict enhancers. Bottom track shows pooled CTSS signal as in panel B, but with signal on both strands (red, negative bars indicate minus strand and blue, positive values indicate plus strand). The middle track shows the balance score (Bhattacharyya coefficient, Additional file 1 :Figure S1A) calculated along the genomic region. Top track shows the resulting Bidirectional Cluster (BC) as a block in pink indicating lack of strand information, where the single bp with the highest balance score is indicated

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