findOverlappingPeaks | peak取交集操作
参考:
- http://localhost:17449/lab/tree/projects/BAF_SOX9/diffbind/6.DMSO_only.ipynb
- http://localhost:17449/lab/tree/projects/BAF_SOX9/diffbind/2.2-Diffbind-Raghwan.ipynb#findOverlapsOfPeaks
venn图
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | options (repr.plot.width=5.5, repr.plot.height=5.5) p <- ChIPpeakAnno:: makeVennDiagram ( list ( #GRanges(subset(selected.norm.count, DMSO_SOX9_2_Paul>5)[,1:3]), GRanges ( subset (selected.norm.count, dT29_SC1_DM1_Rag_b4>5)[,1:3]), GRanges ( subset (selected.norm.count, dT29_ARD1_DM2_Rag_b4>5)[,1:3]), GRanges ( subset (selected.norm.count, dT29_BRD9_DM1_Rag_b4>5)[,1:3]), GRanges ( subset (selected.norm.count, dT29_PBR1_DM1_Rag_b4>5)[,1:3]) ), NameOfPeaks= c ( "SMARCC1" , "ARID1" , "BRD9" , "PBR1" ), minoverlap = 1, scaled= FALSE , euler.d= FALSE , # totalTest=100, fill=tmp.colors[2:5], # circle fill color col=tmp.colors[2:5] #circle border color # cat.col=c("#D55E00", "#0072B2") ) p |
UpSetR图
1 2 | require (UpSetR) p1 <- upset (tmp.df, text.scale = 2, keep.order = T, intersections = tmp.intersections) |
findOverlapsOfPeaks取交集
1 2 3 4 | t1 <- ChIPpeakAnno:: findOverlapsOfPeaks (PBR1.peak.list$`4074 Loss`, PBR1.peak.list$`5758 Gain`, BRD9.peak.list$`4665 Loss`, BRD9.peak.list$`5755 Gain`) |
findOverlappingPeaks取交集【这个函数对两个set很友好,可以直接得到peak name】
1 2 | peak.no.comp <- ChIPpeakAnno:: findOverlappingPeaks ( GRanges (norm.count[,1:3]), peak.list$`4074 Loss`) peak.comp <- ChIPpeakAnno:: findOverlappingPeaks ( GRanges (norm.count[,1:3]), peak.list$`5758 Gain`) |
1 2 | peak.no.comp2 <- as.data.frame (peak.no.comp$Peaks1withOverlaps) peak.comp2 <- as.data.frame (peak.comp$Peaks1withOverlaps) |
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2021-12-17 心脏发育 | Embryo Heart Development