这是使用Biostrings的可能性:
library("Biostrings")
x <- "TATAATGCAACGAGGGGCATAATTATATATGCCCAAAATCTGATATAATGACCGGGTAG"
# Get all combinations of substrings starting with "ATG" and ending with "TAA"
library(tidyverse)
df <- expand.grid(start(matchPattern("ATG", x)), end(matchPattern("TAA", x))) %>%
filter(Var1 < Var2);
ir <- IRanges(df[, 1], df[, 2]);
extractAt(BString(x), IRanges(df[, 1], df[, 2]));
#A BStringSet instance of length 3
# width seq
#[1] 18 ATGCAACGAGGGGCATAA
#[2] 44 ATGCAACGAGGGGCATAATTATATATGCCCAAAATCTGATATAA
#[3] 20 ATGCCCAAAATCTGATATAA
由于您正在处理 DNA 序列数据,我建议您熟悉 Bioconductor 的 Biostrings。除了Biostrings 之外,还有许多 Bioconductor 软件包,当您处理 DNA/RNA 序列数据时,它们会让您的生活变得更轻松(走上正轨)。
更新
要考虑多个终止密码子,只需将 end(matchPattern(...)) 包裹在 sapply 循环中即可。
df <- expand.grid(
start(matchPattern("ATG", x)),
unlist(sapply(c("TAA", "TGA", "TAG"), function(ss) end(matchPattern(ss, x))))) %>%
filter(Var1 < Var2);
ir <- IRanges(df[, 1], df[, 2]);
extractAt(BString(x), IRanges(df[, 1], df[, 2]));
# [1] 18 ATGCAACGAGGGGCATAA
# [2] 44 ATGCAACGAGGGGCATAATTATATATGCCCAAAATCTGATATAA
# [3] 20 ATGCCCAAAATCTGATATAA
# [4] 39 ATGCAACGAGGGGCATAATTATATATGCCCAAAATCTGA
# [5] 15 ATGCCCAAAATCTGA
# ... ... ...
# [7] 23 ATGCCCAAAATCTGATATAATGA
# [8] 4 ATGA
# [9] 55 ATGCAACGAGGGGCATAATTATATATGCCCAAAATCTGATATAATGACCGGGTAG
#[10] 31 ATGCCCAAAATCTGATATAATGACCGGGTAG
#[11] 12 ATGACCGGGTAG