简体   繁体   English

如何使用R从FASTA文件中提取BED文件中定义的每个间隔的序列?

[英]How can I extract sequences from a FASTA file for each of the intervals defined in a BED file using R?

How can I extract sequences from a FASTA file for each of the intervals defined in a BED file using R? 如何使用R从FASTA文件中提取BED文件中定义的每个间隔的序列? The reference genome used is "Gallus gallus" that can be obtained by: 所使用的参考基因组是“鸡鸡”,可通过以下方法获得:

source("http://bioconductor.org/biocLite.R")
biocLite("BSgenome.Ggallus.UCSC.galGal4")
    library(BSgenome.Ggallus.UCSC.galGal4)

My data file is a result of gRanges package 我的数据文件是gRanges软件包的结果

library("GenomicRanges")

> olaps
GRanges object with 2141 ranges and 0 metadata columns:
         seqnames               ranges strand
            <Rle>            <IRanges>  <Rle>
     [1]    chr14 [ 1665929,  1673673]      *
     [2]    chr14 [ 2587465,  2595209]      *
     [3]    chr14 [ 8143785,  8151529]      *
     [4]    chr14 [ 9779705,  9787449]      *
     [5]    chr14 [10281129, 10288873]      *
     ...      ...                  ...    ...
  [2137]    chr24   [3280553, 3288297]      *
  [2138]    chr24   [3330889, 3338633]      *
  [2139]    chr24   [3005641, 3015321]      *
  [2140]    chr24   [3319273, 3327017]      *
  [2141]    chr24   [5549545, 5557289]      *
  -------
  seqinfo: 31 sequences from an unspecified genome; no seqlengths

That I can transform in data.table 我可以在data.table中进行转换

olaps<- as.data.table(olaps)

Example to be used: 使用示例:

olaps<-"seqnames    start      end width strand
chr1  1665929  1673673  7745      *
chr1  2587465  2595209  7745      *
chr1  8143785  8151529  7745      *
chr2  9779705  9787449  7745      *
chr2 10281129 10288873  7745      *"
olaps<-read.table(text=olaps,header=T)

Expected outcome: something like this (fasta format): 预期结果:如下所示(fasta格式):

>SEQUENCE_1
ACTGACTAGCATCGCAT...
>SEQUENCE_2
ACGTAGAGAGGGACATA...
>SEQUENCE_3...

I have tried to use this package unsuccessful until now: 到目前为止,我一直尝试使用此软件包失败:

source("http://bioconductor.org/biocLite.R")
biocLite("rtracklayer")

This, should solve your trick: 这,应该解决您的把戏:

First: 第一:

seq = BSgenome::getSeq(BSgenome.Ggallus.UCSC.galGal4, olaps)

to add names to the sequences: 为序列添加名称:

names(seq) = paste0("SEQUENCE_", seq_along(seq)) 

To generate a ".fasta" from your sequences: 要从您的序列中生成“ .fasta”:

Biostrings::writeXStringSet(seq, "my.fasta")

More details were provided before: 之前提供了更多详细信息:

https://support.bioconductor.org/p/77913/#77986 https://support.bioconductor.org/p/77913/#77986

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM