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在 GenomicRanges 中，一个有趣的问题是基因岛的识别。

我试图找到相邻范围不超过一定距离的最大范围子集。为了解决这个问题，我尝试根据各个范围之间的差异来分配组。

我在 IRanges 包中搜索了合适的方法，但到目前为止我还没有成功。

daf <- data.frame(seqnames="ConA",start=c(10,39,56,1000,5000),end=c(19,44,87,1100,5050),ID=paste0("Range",LETTERS[1:5]))
gr <- makeGRangesFromDataFrame(daf,keep.extra.columns=TRUE)
## Order the data frame by start column
oo <- order(daf$start)
daf <- daf[oo,]

# Calculate the distance
dd <- c(0,diff(daf$start))
daf$diff <- dd
daf$group <- rep(1,nrow(daf))

group <- 1
for(i in 1:nrow(daf)){
  if(daf$diff[i] > 500){
    group <- group + 1
  }
  daf$group[i] <- group
}

根据分配的组，可以找到最大的组。你知道任何更好的解决方案，避免 for 循环吗？

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1 回答 1

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我相信这会做你所期望的，没有循环：

## Load library
library(GenomicRanges)

## Create the data
gr <- GRanges(seqnames="ConA",
              ranges=IRanges(start=c(10,39,56,1000,5000),
                             end=c(19,44,87,1100,5050),
                             names = paste0("Range",LETTERS[1:5])))

## Get the "start sites" = TSS.
## Use the promoters function if you need to take the strand into account:
grTSS <- promoters(gr, upstream = 0, downstream = 1)

## Create islands in which start sites are located less than 500bp apart
## If distance between start sites is <500bp then ranges of size 501bp centered on start sites overlap
islands <- reduce(grTSS + 250, ignore.strand = TRUE)
names(islands) <- paste0("island", 1:length(islands))

## Get the link between start sites and islands:
ovl <- findOverlaps(grTSS, islands, type = "within", ignore.strand = TRUE)

## Add the group info in the original GRanges object:
gr$group <- names(islands)[subjectHits(ovl)]

创建岛屿时可以考虑链信息：islands <- reduce(grstarts + 250, ignore.strand = FALSE)
我们可以直接使用基因边界（开始和结束），而不是只关注起始位点/TSS：islands <- reduce(gr + 250, ignore.strand = TRUE)

希望这可以帮助

于 2020-02-12T14:34:25.823 回答